82 Commits

Author SHA1 Message Date
dadbf265d4 Added compiled presentation 2023-01-30 14:27:45 +01:00
96f58683e0 Merge branch 'feature/17_01_2023' 2023-01-30 14:26:28 +01:00
47c6298262 Merge branch 'main' into feature/admm_literature 2023-01-30 14:15:13 +01:00
a61a7f5b4c Fixed title; Moved neg. log likelihood def. to other slide 2023-01-27 02:43:54 +01:00
052bb57834 Incorporated proposals from test presentation; Fixed pseudocode listings 2023-01-27 02:30:41 +01:00
a3c1adf3db Added magnifying glass 2023-01-27 00:32:29 +01:00
c5e555c123 Second round of changes II 2023-01-27 00:21:51 +01:00
0455d16fce Second round of changes I 2023-01-26 23:59:35 +01:00
331378fc90 Made all plot colors uniform 2023-01-26 21:43:27 +01:00
5efdea242c Added lautern citation 2023-01-26 17:51:18 +01:00
0e84d596c0 Minor changes 2023-01-26 17:37:05 +01:00
c282c9f0b2 Put paper and own simulation results into same plot 2023-01-26 17:32:49 +01:00
36d72cdd95 Fixed c/x mismatch in sum 2023-01-26 16:11:59 +01:00
8ecad99651 Fixed tick labels on oscillation slides 2023-01-26 15:57:51 +01:00
6af1545a88 Added questions slide 2023-01-26 15:49:47 +01:00
56cb023318 Added conclusion slide; Fixed Boyd book citation 2023-01-26 15:33:16 +01:00
788364f12d Removed roman numerals from bibliography slide title 2023-01-26 14:59:36 +01:00
28e250d4b7 Fixed legend of average error plot 2023-01-26 14:51:14 +01:00
0235f3fe35 Removed index k; Fixed legend of FER plots; Moved legend of surface plots 2023-01-26 13:37:01 +01:00
542733acc6 Moved surface plots further to the left and made legend larger 2023-01-26 12:49:35 +01:00
83cf2df00e Changed surface plot viewing angle; Fixed surface plot legends 2023-01-26 12:30:03 +01:00
d0fff24e12 Moved appendix slides to front; Changed graph scaling 2023-01-26 00:48:54 +01:00
9ca69da479 Changed pseudocode to not use indexing, double return instead of loop break 2023-01-26 00:13:16 +01:00
d4e531d47c Second round of corrections 2023-01-25 23:10:32 +01:00
f433607ce6 First round of corrections 2023-01-25 22:01:01 +01:00
c18d0f8c12 Moved LP Decoding slide; Added general optimization slide; Added forthcoming examination slide 2023-01-25 14:21:31 +01:00
e817b94a2e Finished gradient oscillation slide 2023-01-25 13:26:20 +01:00
a894478c86 Added TODOs 2023-01-25 05:07:20 +01:00
b7c4c3acfe Fixed estimate oscillation slide appearance 2023-01-25 04:52:13 +01:00
21e1c2375c Added plot showing oscillation of estimate for bch 7 4 2023-01-25 04:24:25 +01:00
d9d78a379e Added proper data to average error slide 2023-01-25 03:27:37 +01:00
edaa2bab16 Changed plot scale 2023-01-25 02:59:09 +01:00
4a53ab2cfb Changed plot domain of 8dB SNR plots; Moved legends to right 2023-01-25 02:55:02 +01:00
8ba7124f62 Added pgfplots filter 'discard if gt' 2023-01-25 02:53:59 +01:00
cca2ec8e82 Moved *_proximal* to proximal/* (+ same thing for hybrid) 2023-01-25 01:28:47 +01:00
30033bd0f1 Added outline for error slide; Added hybrid results slide; Commented out SD ML-on-List slide 2023-01-25 00:41:19 +01:00
95ded129a9 Changed appendix sections 2023-01-24 19:04:26 +01:00
aab69a6f9f Changed overly verbose footnote 2023-01-24 19:03:36 +01:00
997dc9351f Added visualization of gradients to appendix 2023-01-24 18:37:20 +01:00
238cbcf17c Added new simulation results for fps of hybrid decoder; Added TODO 2023-01-24 16:55:56 +01:00
5c1b7a15a3 Removed 'Code: ' from code citations; Added footnote with codes to time complexity slide 2023-01-24 16:40:12 +01:00
bfab6b8eac Added appendix; Added slide showing proximal decoding time complexity 2023-01-24 16:19:36 +01:00
d4fbb621fb Added previous-work-slide; Added TODO; Moved proximal decoding algorithm out of itemize env. 2023-01-24 15:45:43 +01:00
d77381e818 Changed bitrate to framerate 2023-01-24 15:04:53 +01:00
7d49eb98cd Added todo 2023-01-24 00:48:45 +01:00
ffce47941f Replaced 'SNR' with 'E_b / N_0' 2023-01-24 00:42:17 +01:00
77fce73273 Added 6-sublot BER surface plot; Added pgf externalization 2023-01-24 00:07:15 +01:00
87ec681ae9 Added BER simulation results for more codes 2023-01-24 00:06:35 +01:00
364a85248f Added comparison between proximal and hybrid decoding 2023-01-23 20:48:10 +01:00
25cb7772a2 Removed commented out code 2023-01-23 20:13:32 +01:00
d99694efba Renamed tikzmarknew to tikzbracemark 2023-01-23 20:12:24 +01:00
5b863188c3 Removed unused code 2023-01-23 20:08:18 +01:00
6939c6bcc5 Added footnotes mentioning used code; Added Hybrid algorithm 2023-01-23 20:07:40 +01:00
ce2c22d7db Added enc. of sparse graph codes and prox. algs. citations 2023-01-23 20:05:05 +01:00
0ceab1344f Updated measured performance; Fixed H matrix indexing; Fixed graph ticks 2023-01-23 16:06:23 +01:00
356e056a92 Added motivation 2023-01-23 15:20:03 +01:00
36352b307d Minor changes to graphs; Changed csv dilenames 2023-01-23 15:19:48 +01:00
4a64406cb8 Added bibliography 2023-01-23 15:18:46 +01:00
c6c7a65f19 Added literature more closely explaining implementation 2023-01-18 12:55:33 +01:00
ea8259b6cb Added simulation results generated after fixing hybrid decoder 2023-01-17 21:45:07 +01:00
9d74296aa8 Added slides showing convergance behaviour and variance 2023-01-17 21:44:35 +01:00
05c232c2c3 Changed simulation parameters for hybrid decoder 2023-01-16 16:00:44 +01:00
45c504effe Added presentation.tex and resources 2023-01-16 15:13:02 +01:00
8d6dcb2fc1 Started adding proximal decoder examination results 2023-01-16 14:38:31 +01:00
7f74df4af1 Added proximal decoding algorithm 2022-12-26 18:16:56 +01:00
90236d995d Added Proximal Decoding: General Idea slides 2022-12-23 21:17:49 +01:00
d72224ca91 Added TODO 2022-12-20 15:00:29 +01:00
44eecb1d49 formatting 2022-12-20 14:58:14 +01:00
7ebd34ce35 Added content to LP Relaxation slide 2022-12-20 14:56:59 +01:00
0b37b48e58 Formatting 2022-12-20 14:55:13 +01:00
3a95825990 Added all zeros assumption; Added slide with table of contents 2022-12-19 14:40:32 +01:00
3110137164 Changed variable names 2022-12-19 14:16:12 +01:00
fab8ab64ac Added TODO 2022-12-19 03:45:47 +01:00
6df9aa2405 Changed presentation lib language to english 2022-12-19 03:39:58 +01:00
1bc78b0675 Added LP Decoding slide 2022-12-19 03:38:09 +01:00
7426d94324 Added content to Channel & Modulation slide 2022-12-18 22:10:18 +01:00
d3cfdf96cd Added rough structure for midterm presentation 2022-12-18 01:55:23 +01:00
467d9cad11 Added sim results and plots showing each component of the estimate - frame error - no parity check 2022-12-12 18:46:53 +01:00
1b1bf2544f Added sim results and plots showing each component of the estimate - successful decoding - no parity check 2022-12-12 17:25:19 +01:00
42b9e1ed33 Added presentation for 13_12_2022 2022-12-12 13:09:03 +01:00
0f619b73ac Fixed typo in README.md 2022-12-09 21:16:07 +01:00
c9b8c831c8 Changed tag link 2022-12-09 16:01:38 +01:00
80 changed files with 16361 additions and 5 deletions

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This repository contains resources related to the Bachelor-Thesis
`Application of Optimization Algorithms for Channel Decoding`
(The related sofware has it's own [repo](https://git.scc.kit.edu/ba_duo/ba_sw))
(the related sofware has it's own [repo](https://git.scc.kit.edu/ba_duo/ba_sw))
## Access compiled documents
Each document has a corresponding tag, where an already compiled pdf document can be found
(See for example [this](https://git.scc.kit.edu/ba_duo/ba_thesis/-/tree/prox_07_12_22) tag, for one
of the presentations under `latex/presentations`)
(See for example
[this](https://git.scc.kit.edu/ba_duo/ba_thesis/-/tree/prox_07_12_22/latex/presentations/02_12_2022)
tag, for one of the presentations under `latex/presentations`)
## Compiling the sources

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$pdflatex="pdflatex -interaction=nonstopmode %O %S";
$out_dir = 'build';

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mkdir -p build/build
latexmk -pdf

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\documentclass[10pt, aspectratio=169]{beamer}
\usepackage[utf8]{inputenc}
\usepackage[T1]{fontenc}
% \usepackage[ngerman]{babel}
%\usepackage{amsmath}
\usepackage{float}
\usepackage{tikz}
\usepackage{pgfplots}
\pgfplotsset{compat=newest}
\usepackage{subcaption}
\usepackage{listings}
\usepackage{graphicx}
\usepackage{xcolor}
\usepgfplotslibrary{colorbrewer}
\usepgfplotslibrary{external}
\tikzexternalize[prefix=build/]
\newcommand{\templates}{../lib}
% packages to be included
\input{\templates/packages.tex}
% modifications to stick to new KIT style
\input{\templates/modifications.tex}
% marcos used throughout the slides
\input{\templates/makros_own.tex}
\title{BA Besprechung - 13.12.2022}
\author{Andreas Tsouchlos}
\institute{Karlsruhe Institute of Technology (KIT), \\ Communications Engineering Lab (CEL) }
\pgfplotsset{
discard if/.style 2 args={
x filter/.code={
\edef\tempa{\thisrow{#1}}
\edef\tempb{#2}
\ifx\tempa\tempb
\def\pgfmathresult{inf}
\fi
}
},
discard if not/.style 2 args={
x filter/.code={
\edef\tempa{\thisrow{#1}}
\edef\tempb{#2}
\ifx\tempa\tempb
\else
\def\pgfmathresult{inf}
\fi
}
}
}
\begin{document}
\begin{frame}[plain]
\maketitle
\end{frame}
\begin{frame}[t]
\frametitle{Average Error vs. Mean Square Error}
\begin{figure}[H]
\begin{subfigure}[c]{0.5\textwidth}
\centering
\includegraphics[width=0.5\textwidth]{res/screenshot_cpp_avg_err}
\vspace{2mm}
\includegraphics[width=1\textwidth]{res/screenshot_eigen_squaredNorm}
\caption{Average error as used by me}
\label{fig:avg_error_me}
\end{subfigure}%
\begin{subfigure}[c]{0.5\textwidth}
\centering
\includegraphics[width=0.45\textwidth]{res/screenshot_paper_avg_err}
\vspace{2mm}
\includegraphics[width=0.35\textwidth]{res/screenshot_paper_norm_def}
\caption{Average error as defined in the paper}
\label{fig:avg_error_paper}
\end{subfigure}%
\end{figure}
\end{frame}
\begin{frame}[t]
\frametitle{$s$ and $r$ for each iteration - successful decoding}
\begin{figure}[H]
\centering
\begin{subfigure}{0.32\textwidth}
\centering
\begin{tikzpicture}[scale = 0.55]
\begin{axis}[
grid=both,
xlabel={k},
width=8cm,
height=3cm,
scale only axis,
]
\addplot +[mark=none, line width=0.7pt] table [col sep=comma, x=k, y=comb_r_s_0] {res/comp_bch_7_4_combined_success_no_parity.csv};
\addplot +[mark=none] table [col sep=comma, x=k, y=grad_L_0] {res/comp_bch_7_4_combined_success_no_parity.csv};
\addplot +[mark=none] table [col sep=comma, x=k, y=grad_h_0] {res/comp_bch_7_4_combined_success_no_parity.csv};
\addlegendentry{est}
\addlegendentry{$\nabla L$}
\addlegendentry{$\nabla h$}
\end{axis}
\end{tikzpicture}
\end{subfigure}%
\begin{subfigure}{0.32\textwidth}
\centering
\begin{tikzpicture}[scale = 0.55]
\begin{axis}[
grid=both,
xlabel={k},
width=8cm,
height=3cm,
scale only axis,
]
\addplot +[mark=none, line width=0.7pt] table [col sep=comma, x=k, y=comb_r_s_1] {res/comp_bch_7_4_combined_success_no_parity.csv};
\addplot +[mark=none] table [col sep=comma, x=k, y=grad_L_1] {res/comp_bch_7_4_combined_success_no_parity.csv};
\addplot +[mark=none] table [col sep=comma, x=k, y=grad_h_1] {res/comp_bch_7_4_combined_success_no_parity.csv};
\addlegendentry{est}
\addlegendentry{$\nabla L$}
\addlegendentry{$\nabla h$}
\end{axis}
\end{tikzpicture}
\end{subfigure}%
\begin{subfigure}{0.32\textwidth}
\centering
\begin{tikzpicture}[scale = 0.55]
\begin{axis}[
grid=both,
xlabel={k},
width=8cm,
height=3cm,
scale only axis,
]
\addplot +[mark=none, line width=0.7pt] table [col sep=comma, x=k, y=comb_r_s_2] {res/comp_bch_7_4_combined_success_no_parity.csv};
\addplot +[mark=none] table [col sep=comma, x=k, y=grad_L_2] {res/comp_bch_7_4_combined_success_no_parity.csv};
\addplot +[mark=none] table [col sep=comma, x=k, y=grad_h_2] {res/comp_bch_7_4_combined_success_no_parity.csv};
\addlegendentry{est}
\addlegendentry{$\nabla L$}
\addlegendentry{$\nabla h$}
\end{axis}
\end{tikzpicture}
\end{subfigure}%
\begin{subfigure}{0.32\textwidth}
\centering
\begin{tikzpicture}[scale = 0.55]
\begin{axis}[
grid=both,
xlabel={k},
width=8cm,
height=3cm,
scale only axis,
]
\addplot +[mark=none, line width=0.7pt] table [col sep=comma, x=k, y=comb_r_s_3] {res/comp_bch_7_4_combined_success_no_parity.csv};
\addplot +[mark=none] table [col sep=comma, x=k, y=grad_L_3] {res/comp_bch_7_4_combined_success_no_parity.csv};
\addplot +[mark=none] table [col sep=comma, x=k, y=grad_h_3] {res/comp_bch_7_4_combined_success_no_parity.csv};
\addlegendentry{est}
\addlegendentry{$\nabla L$}
\addlegendentry{$\nabla h$}
\end{axis}
\end{tikzpicture}
\end{subfigure}%
\begin{subfigure}{0.32\textwidth}
\centering
\begin{tikzpicture}[scale = 0.55]
\begin{axis}[
grid=both,
xlabel={k},
width=8cm,
height=3cm,
scale only axis,
]
\addplot +[mark=none, line width=0.7pt] table [col sep=comma, x=k, y=comb_r_s_4] {res/comp_bch_7_4_combined_success_no_parity.csv};
\addplot +[mark=none] table [col sep=comma, x=k, y=grad_L_4] {res/comp_bch_7_4_combined_success_no_parity.csv};
\addplot +[mark=none] table [col sep=comma, x=k, y=grad_h_4] {res/comp_bch_7_4_combined_success_no_parity.csv};
\addlegendentry{est}
\addlegendentry{$\nabla L$}
\addlegendentry{$\nabla h$}
\end{axis}
\end{tikzpicture}
\end{subfigure}%
\begin{subfigure}{0.32\textwidth}
\centering
\begin{tikzpicture}[scale = 0.55]
\begin{axis}[
grid=both,
xlabel={k},
width=8cm,
height=3cm,
scale only axis,
]
\addplot +[mark=none, line width=0.7pt] table [col sep=comma, x=k, y=comb_r_s_5] {res/comp_bch_7_4_combined_success_no_parity.csv};
\addplot +[mark=none] table [col sep=comma, x=k, y=grad_L_5] {res/comp_bch_7_4_combined_success_no_parity.csv};
\addplot +[mark=none] table [col sep=comma, x=k, y=grad_h_5] {res/comp_bch_7_4_combined_success_no_parity.csv};
\addlegendentry{est}
\addlegendentry{$\nabla L$}
\addlegendentry{$\nabla h$}
\end{axis}
\end{tikzpicture}
\end{subfigure}%
\begin{subfigure}{0.32\textwidth}
\centering
\begin{tikzpicture}[scale = 0.55]
\begin{axis}[
grid=both,
xlabel={k},
width=8cm,
height=3cm,
scale only axis,
]
\addplot +[mark=none, line width=0.7pt] table [col sep=comma, x=k, y=comb_r_s_6] {res/comp_bch_7_4_combined_success_no_parity.csv};
\addplot +[mark=none] table [col sep=comma, x=k, y=grad_L_6] {res/comp_bch_7_4_combined_success_no_parity.csv};
\addplot +[mark=none] table [col sep=comma, x=k, y=grad_h_6] {res/comp_bch_7_4_combined_success_no_parity.csv};
\addlegendentry{est}
\addlegendentry{$\nabla L$}
\addlegendentry{$\nabla h$}
\end{axis}
\end{tikzpicture}
\end{subfigure}%
\end{figure}
\end{frame}
\begin{frame}[t]
\frametitle{$s$ and $r$ for each iteration - frame error}
\begin{figure}[H]
\centering
\begin{subfigure}{0.32\textwidth}
\centering
\begin{tikzpicture}[scale = 0.55]
\begin{axis}[
grid=both,
xlabel={k},
width=8cm,
height=3cm,
scale only axis,
]
\addplot +[mark=none, line width=0.7pt] table [col sep=comma, x=k, y=comb_r_s_0] {res/comp_bch_7_4_combined_no_success_no_parity.csv};
\addplot +[mark=none] table [col sep=comma, y=grad_L_0] {res/comp_bch_7_4_combined_no_success_no_parity.csv};
\addplot +[mark=none] table [col sep=comma, x=k, y=grad_h_0] {res/comp_bch_7_4_combined_no_success_no_parity.csv};
\addlegendentry{est}
\addlegendentry{$\nabla L$}
\addlegendentry{$\nabla h$}
\end{axis}
\end{tikzpicture}
\end{subfigure}%
\begin{subfigure}{0.32\textwidth}
\centering
\begin{tikzpicture}[scale = 0.55]
\begin{axis}[
grid=both,
xlabel={k},
width=8cm,
height=3cm,
scale only axis,
]
\addplot +[mark=none, line width=0.7pt] table [col sep=comma, x=k, y=comb_r_s_1] {res/comp_bch_7_4_combined_no_success_no_parity.csv};
\addplot +[mark=none] table [col sep=comma, x=k, y=grad_L_1] {res/comp_bch_7_4_combined_no_success_no_parity.csv};
\addplot +[mark=none] table [col sep=comma, x=k, y=grad_h_1] {res/comp_bch_7_4_combined_no_success_no_parity.csv};
\addlegendentry{est}
\addlegendentry{$\nabla L$}
\addlegendentry{$\nabla h$}
\end{axis}
\end{tikzpicture}
\end{subfigure}%
\begin{subfigure}{0.32\textwidth}
\centering
\begin{tikzpicture}[scale = 0.55]
\begin{axis}[
grid=both,
xlabel={k},
width=8cm,
height=3cm,
scale only axis,
]
\addplot +[mark=none, line width=0.7pt] table [col sep=comma, x=k, y=comb_r_s_2] {res/comp_bch_7_4_combined_no_success_no_parity.csv};
\addplot +[mark=none] table [col sep=comma, x=k, y=grad_L_2] {res/comp_bch_7_4_combined_no_success_no_parity.csv};
\addplot +[mark=none] table [col sep=comma, x=k, y=grad_h_2] {res/comp_bch_7_4_combined_no_success_no_parity.csv};
\addlegendentry{est}
\addlegendentry{$\nabla L$}
\addlegendentry{$\nabla h$}
\end{axis}
\end{tikzpicture}
\end{subfigure}%
\begin{subfigure}{0.32\textwidth}
\centering
\begin{tikzpicture}[scale = 0.55]
\begin{axis}[
grid=both,
xlabel={k},
width=8cm,
height=3cm,
scale only axis,
]
\addplot +[mark=none, line width=0.7pt] table [col sep=comma, x=k, y=comb_r_s_3] {res/comp_bch_7_4_combined_no_success_no_parity.csv};
\addplot +[mark=none] table [col sep=comma, x=k, y=grad_L_3] {res/comp_bch_7_4_combined_no_success_no_parity.csv};
\addplot +[mark=none] table [col sep=comma, x=k, y=grad_h_3] {res/comp_bch_7_4_combined_no_success_no_parity.csv};
\addlegendentry{est}
\addlegendentry{$\nabla L$}
\addlegendentry{$\nabla h$}
\end{axis}
\end{tikzpicture}
\end{subfigure}%
\begin{subfigure}{0.32\textwidth}
\centering
\begin{tikzpicture}[scale = 0.55]
\begin{axis}[
grid=both,
xlabel={k},
width=8cm,
height=3cm,
scale only axis,
]
\addplot +[mark=none, line width=0.7pt] table [col sep=comma, x=k, y=comb_r_s_4] {res/comp_bch_7_4_combined_no_success_no_parity.csv};
\addplot +[mark=none] table [col sep=comma, x=k, y=grad_L_4] {res/comp_bch_7_4_combined_no_success_no_parity.csv};
\addplot +[mark=none] table [col sep=comma, x=k, y=grad_h_4] {res/comp_bch_7_4_combined_no_success_no_parity.csv};
\addlegendentry{est}
\addlegendentry{$\nabla L$}
\addlegendentry{$\nabla h$}
\end{axis}
\end{tikzpicture}
\end{subfigure}%
\begin{subfigure}{0.32\textwidth}
\centering
\begin{tikzpicture}[scale = 0.55]
\begin{axis}[
grid=both,
xlabel={k},
width=8cm,
height=3cm,
scale only axis,
]
\addplot +[mark=none, line width=0.7pt] table [col sep=comma, x=k, y=comb_r_s_5] {res/comp_bch_7_4_combined_no_success_no_parity.csv};
\addplot +[mark=none] table [col sep=comma, x=k, y=grad_L_5] {res/comp_bch_7_4_combined_no_success_no_parity.csv};
\addplot +[mark=none] table [col sep=comma, x=k, y=grad_h_5] {res/comp_bch_7_4_combined_no_success_no_parity.csv};
\addlegendentry{est}
\addlegendentry{$\nabla L$}
\addlegendentry{$\nabla h$}
\end{axis}
\end{tikzpicture}
\end{subfigure}%
\begin{subfigure}{0.32\textwidth}
\centering
\begin{tikzpicture}[scale = 0.55]
\begin{axis}[
grid=both,
xlabel={k},
width=8cm,
height=3cm,
scale only axis,
]
\addplot +[mark=none, line width=0.7pt] table [col sep=comma, x=k, y=comb_r_s_6] {res/comp_bch_7_4_combined_no_success_no_parity.csv};
\addplot +[mark=none] table [col sep=comma, x=k, y=grad_L_6] {res/comp_bch_7_4_combined_no_success_no_parity.csv};
\addplot +[mark=none] table [col sep=comma, x=k, y=grad_h_6] {res/comp_bch_7_4_combined_no_success_no_parity.csv};
\addlegendentry{est}
\addlegendentry{$\nabla L$}
\addlegendentry{$\nabla h$}
\end{axis}
\end{tikzpicture}
\end{subfigure}%
\end{figure}
\end{frame}
\end{document}

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90,1.0522105084403934,0.9126487567884403,-1.1030863854418915,-0.638188849599632,0.95269558528923,0.78643846675263,1.125798243370429,0.40963135306213905,-0.22665446736864936,0.13569164945146106,-0.9674587369695444,-0.013376382535396969,0.2294034558861051,-0.7688824460292565,-0.4096224151927012,0.22666676772550542,-0.1356990826434784,0.96757142403397,0.013401590712773748,-0.22931379965099907,0.7688825510118364
91,1.0726912397147421,0.9013148831847289,-1.0963011073931521,-0.6865723312141806,0.9520244076242882,0.797900248566924,1.0873541112558218,0.40963090616866726,-0.22665508238649212,0.13569202111106193,-0.9674643713227657,-0.0133776429442658,0.22939897307434975,-0.7688824512783854,-0.40962311646293637,0.2266657867352163,-0.13569849944237233,0.9675625795797678,0.01339960553032954,-0.22932080970923197,0.7688825425586922
91,1.0522100838915953,0.9126481725214897,-1.1030860323652707,-0.6381942022351922,0.9526943879008046,0.7864342080814624,1.1257982383837564,0.40963090616866726,-0.22665508238649212,0.13569202111106193,-0.9674643713227657,-0.0133776429442658,0.22939897307434975,-0.7688824512783854,-0.40962311646293637,0.2266657867352163,-0.13569849944237233,0.9675625795797678,0.01339960553032954,-0.22932080970923197,0.7688825425586922
92,1.0726909002605878,0.9013144173419214,-1.0963008250846629,-0.6865766107483584,0.9520234508421502,0.7978968414603003,1.0873541072865147,0.4096305166833808,-0.22665561760392827,0.1356923450276275,-0.9674692817356159,-0.013378741073568956,0.22939506490609385,-0.7688824558424008,-0.40962372760029486,0.2266649344600774,-0.135697991197415,0.967554872419171,0.013397876716327195,-0.2293269227736211,0.7688825352285424
92,1.052209713880573,0.9126476640649253,-1.1030857246445336,-0.6381988671273998,0.9526933446779666,0.7864304953216192,1.1257982340479418,0.4096305166833808,-0.22665561760392827,0.1356923450276275,-0.9674692817356159,-0.013378741073568956,0.22939506490609385,-0.7688824558424008,-0.40962372760029486,0.2266649344600774,-0.135697991197415,0.967554872419171,0.013397876716327195,-0.2293269227736211,0.7688825352285424
93,1.0726906044089544,0.9013140118251001,-1.0963005790380225,-0.686580340493102,0.9520226171830007,0.7978938712382443,1.0873541038336507,0.40963017722922646,-0.2266560834467357,0.13569262733611676,-0.9674735612697937,-0.013379697855706918,0.22939165779947013,-0.7688824598117079,-0.40962426019655945,0.22666419378316427,-0.13569754826892677,0.9675481561646656,0.013396371038697452,-0.2293322533583504,0.7688825288689893
93,1.0522093913991264,0.9126472215142583,-1.1030854564514687,-0.6382029326848687,0.9526924357349356,0.7864272585703268,1.1257982302771001,0.40963017722922646,-0.2266560834467357,0.13569262733611676,-0.9674735612697937,-0.013379697855706918,0.22939165779947013,-0.7688824598117079,-0.40962426019655945,0.22666419378316427,-0.13569754826892677,0.9675481561646656,0.013396371038697452,-0.2293322533583504,0.7688825288689893
94,1.0726903465576403,0.9013136587777362,-1.096300364594255,-0.6865835911074434,0.9520218907787935,0.7978912819300743,1.08735410082943,0.40962988137759304,-0.22665648896355706,0.13569287338275715,-0.9674772910145373,-0.013380531514856409,0.22938868757741415,-0.7688824632645719,-0.4096247243513092,0.22666354991083537,-0.1356971622581038,0.967542303301366,0.013395059599002557,-0.22933690141401353,0.768882523348986
94,1.0522091103400748,0.9126468362732779,-1.1030852227071604,-0.6382064759423751,0.9526916437587436,0.7864244368593736,1.1257982269968794,0.40962988137759304,-0.22665648896355706,0.13569287338275715,-0.9674772910145373,-0.013380531514856409,0.22938868757741415,-0.7688824632645719,-0.4096247243513092,0.22666354991083537,-0.1356971622581038,0.967542303301366,0.013395059599002557,-0.22933690141401353,0.768882523348986
95,1.0726901218245408,0.9013133513758855,-1.0963001776932289,-0.6865864241633827,0.9520212578116468,0.7978890247250132,1.0873540982150842,0.40962962352627896,-0.22665684201092096,0.13569308782652456,-0.9674805416288786,-0.013381257919063638,0.22938609826924417,-0.7688824662687925,-0.4096251288642868,0.22666299004793333,-0.1356968258470468,0.967537202747664,0.013393917261996846,-0.22934095416802303,0.7688825185557091
95,1.0522088653813264,0.9126465008782823,-1.1030850189855812,-0.6382095640259995,0.9526909536747467,0.7864219770166121,1.1257982241428697,0.40962962352627896,-0.22665684201092096,0.13569308782652456,-0.9674805416288786,-0.013381257919063638,0.22938609826924417,-0.7688824662687925,-0.4096251288642868,0.22666299004793333,-0.1356968258470468,0.967537202747664,0.013393917261996846,-0.22934095416802303,0.7688825185557091
96,1.0726899259550269,0.9013130836905128,-1.0963000147966317,-0.6865888933157636,0.9520207062478896,0.7978870570585495,1.087354095939645,0.4096293987931795,-0.2266571494127716,0.13569327472755077,-0.9674833746848179,-0.013381890886210335,0.22938384106418308,-0.7688824688831384,-0.40962548140289873,0.22666250312022773,-0.13569653265949355,0.9675327577324363,0.013392922161355236,-0.22934448773490856,0.76888251439192
96,1.0522086518848819,0.9126462088465241,-1.1030848414296064,-0.6382122554291417,0.9526903523559573,0.786419832671804,1.125798221659241,0.4096293987931795,-0.2266571494127716,0.13569327472755077,-0.9674833746848179,-0.013381890886210335,0.22938384106418308,-0.7688824688831384,-0.40962548140289873,0.22666250312022773,-0.13569653265949355,0.9675327577324363,0.013392922161355236,-0.22934448773490856,0.76888251439192
97,1.0726897552412489,0.9013128505685751,-1.0962998728208655,-0.6865910453212782,0.9520202256068299,0.7978853418149011,1.0873540939588877,0.40962920292366556,-0.22665741709814435,0.13569343762414787,-0.9674858438371988,-0.013382442449967558,0.22938187339771932,-0.7688824711585776,-0.40962578864810484,0.2266620795368971,-0.1356962771394742,0.9675288839474935,0.01339205527116294,-0.22934756852475324,0.7688825107737236
97,1.0522084658088435,0.91264595454542,-1.1030846866778392,-0.6382146011239036,0.952689828370388,0.7864179633886634,1.125798219497574,0.40962920292366556,-0.22665741709814435,0.13569343762414787,-0.9674858438371988,-0.013382442449967558,0.22938187339771932,-0.7688824711585776,-0.40962578864810484,0.2266620795368971,-0.1356962771394742,0.9675288839474935,0.01339205527116294,-0.22934756852475324,0.7688825107737236
98,1.072689606451828,0.9013126475302297,-1.096299749078577,-0.6865929209261107,0.9520198067596679,0.7978838466309315,1.0873540922344216,0.40962903220988756,-0.226657650220082,0.13569357959991413,-0.9674879958427135,-0.013382923091027288,0.22938015815407098,-0.7688824731393349,-0.4096260564214704,0.2266617109869915,-0.1356960544456839,0.9675255079393621,0.01339130003426614,-0.22935025447467794,0.7688825076286607
98,1.0522083036307546,0.9126457330795792,-1.1030845518008612,-0.6382166455291426,0.9526893717613812,0.7864163339071976,1.1257982176158545,0.40962903220988756,-0.226657650220082,0.13569357959991413,-0.9674879958427135,-0.013382923091027288,0.22938015815407098,-0.7688824731393349,-0.4096260564214704,0.2266617109869915,-0.1356960544456839,0.9675255079393621,0.01339130003426614,-0.22935025447467794,0.7688825076286607
99,1.0726894767705968,0.9013124706799116,-1.0962996412277146,-0.6865945556391955,0.9520194417545873,0.79788254328869,1.0873540907329062,0.40962888342046677,-0.22665785325842747,0.13569370334220254,-0.967489871447546,-0.013383341938189242,0.22937866297010134,-0.768882474863801,-0.409626289795841,0.2266613902647876,-0.13569586035945158,0.9675225657092412,0.013390642039801004,-0.2293525961252716,0.7688825048941073
99,1.0522081622808048,0.912645540193151,-1.1030844342456871,-0.6382184273537334,0.9526889738565774,0.7864149134824264,1.1257982159776116,0.40962888342046677,-0.22665785325842747,0.13569370334220254,-0.967489871447546,-0.013383341938189242,0.22937866297010134,-0.768882474863801,-0.409626289795841,0.2266613902647876,-0.13569586035945158,0.9675225657092412,0.013390642039801004,-0.2293525961252716,0.7688825048941073
1 k comb_r_s_0 comb_r_s_1 comb_r_s_2 comb_r_s_3 comb_r_s_4 comb_r_s_5 comb_r_s_6 grad_L_0 grad_L_1 grad_L_2 grad_L_3 grad_L_4 grad_L_5 grad_L_6 grad_h_0 grad_h_1 grad_h_2 grad_h_3 grad_h_4 grad_h_5 grad_h_6
2 0 0.03977217876514211 0.06764427834808534 -0.0738706109737206 0.016851142036887957 0.057901077845122065 0.034109540316366344 0.11121429692740548 -0.6630607230313613 -1.1279705007886571 1.2319934524207796 -0.28089695052143526 -0.9654031486978571 -0.5685051836608301 -1.8562365670982226 -0.13238285227148086 -0.22491506617304965 0.24541876705363225 -0.05612589021632386 -0.1926184082045841 -0.11368562266649669 -0.36804937144988664
3 0 0.03315303615156807 0.05639852503943286 -0.061599672621038985 0.014044847526071763 0.04827015743489286 0.028425259183041507 0.09281182835491114 -0.6630607230313613 -1.1279705007886571 1.2319934524207796 -0.28089695052143526 -0.9654031486978571 -0.5685051836608301 -1.8562365670982226 -0.13238285227148086 -0.22491506617304965 0.24541876705363225 -0.05612589021632386 -0.1926184082045841 -0.11368562266649669 -0.36804937144988664
4 1 0.08501157486051272 0.14446021316511248 -0.15765238998195086 0.036037806067358825 0.12370503229086902 0.07298755111645633 0.23659501950442957 -0.6232885442662193 -1.0603262224405718 1.158122841447059 -0.2640458084845473 -0.907502070852735 -0.5343956433444638 -1.7450222701708171 -0.28149937764119304 -0.47599247389997124 0.5175127387175457 -0.11968747212486998 -0.4085770180622039 -0.243164572657336 -0.7625921813696646
5 1 0.07093660597845307 0.12066058947011393 -0.13177675304607356 0.030053432461115324 0.10327618138775882 0.060829322483589535 0.19846541043594634 -0.6232885442662193 -1.0603262224405718 1.158122841447059 -0.2640458084845473 -0.907502070852735 -0.5343956433444638 -1.7450222701708171 -0.28149937764119304 -0.47599247389997124 0.5175127387175457 -0.11968747212486998 -0.4085770180622039 -0.243164572657336 -0.7625921813696646
6 2 0.13623096007289437 0.230988450830788 -0.25166291161262067 0.057826543197944086 0.19801094778929268 0.11728302716202726 0.37468629029502615 -0.5780491481708486 -0.9835102876235446 1.0743410624388288 -0.24485914445407644 -0.8416981164069881 -0.4955176325443738 -1.619641547593793 -0.4463385560767845 -0.7470544656899659 0.8058693701745672 -0.19091559815762887 -0.6444201935614853 -0.39039188836704475 -1.1421838682181382
7 2 0.11391403226905515 0.19363572754628972 -0.2113694431038923 0.048280763290062645 0.16578993811121842 0.09776343274367502 0.3175770968841192 -0.5780491481708486 -0.9835102876235446 1.0743410624388288 -0.24485914445407644 -0.8416981164069881 -0.4955176325443738 -1.619641547593793 -0.4463385560767845 -0.7470544656899659 0.8058693701745672 -0.19091559815762887 -0.6444201935614853 -0.39039188836704475 -1.1421838682181382
8 3 0.1937284342404267 0.32703044710334067 -0.35510867015361003 0.0824452750533843 0.28093770299878335 0.16770561171071463 0.5204382759216145 -0.526829762958467 -0.8969820499578691 0.980330540808159 -0.22307040732349118 -0.7673922009085645 -0.4512221564988029 -1.4815502768031965 -0.6231197203921793 -1.0238578754931833 1.088584630011629 -0.2693042297853128 -0.8911429032812486 -0.5572295344749443 -1.4334894357285715
9 3 0.16257244822081773 0.2758375533286815 -0.3006794386530286 0.06898006356411865 0.2363805578347209 0.1398441349869674 0.44876380413518596 -0.526829762958467 -0.8969820499578691 0.980330540808159 -0.22307040732349118 -0.7673922009085645 -0.4512221564988029 -1.4815502768031965 -0.6231197203921793 -1.0238578754931833 1.088584630011629 -0.2693042297853128 -0.8911429032812486 -0.5572295344749443 -1.4334894357285715
10 4 0.2573735628744175 0.431118138873823 -0.46538429240288237 0.11000315232024961 0.37173291642628276 0.22498322840921572 0.6641568473363983 -0.4693322887909346 -0.8009400536853164 0.8768847822671696 -0.19845167546805098 -0.6844654456990737 -0.4007995719501155 -1.3357982911766082 -0.8035702838888809 -1.2808137817243308 1.3286276627182763 -0.3527058698692553 -1.1314388228509145 -0.7447527620199063 -1.5385731371190692
11 4 0.21719504867997344 0.3670774497876065 -0.3989529092669685 0.09236785882678684 0.31516097528373704 0.1877455903082204 0.587228190480445 -0.4693322887909346 -0.8009400536853164 0.8768847822671696 -0.19845167546805098 -0.6844654456990737 -0.4007995719501155 -1.3357982911766082 -0.8035702838888809 -1.2808137817243308 1.3286276627182763 -0.3527058698692553 -1.1314388228509145 -0.7447527620199063 -1.5385731371190692
12 5 0.3262995097803414 0.5399485468996823 -0.5774582873937228 0.14031900042228138 0.4682891989731466 0.28973197887293356 0.7926123697978414 -0.40568716015694384 -0.6968523619148341 0.7666091600178973 -0.17089379820118566 -0.5936702322715743 -0.34352195525161444 -1.1920797197618243 -0.9728317779615346 -1.4797557986023517 1.4748707397989123 -0.43542316383944946 -1.337455418665701 -0.9514530540227422 -1.3770307294670379
13 5 0.27765792088226465 0.4659607569695647 -0.5037147504037772 0.1185478422303089 0.4014164280398615 0.24215932617179645 0.7237608333244896 -0.40568716015694384 -0.6968523619148341 0.7666091600178973 -0.17089379820118566 -0.5936702322715743 -0.34352195525161444 -1.1920797197618243 -0.9728317779615346 -1.4797557986023517 1.4748707397989123 -0.43542316383944946 -1.337455418665701 -0.9514530540227422 -1.3770307294670379
14 6 0.39853353314503975 0.648094841337464 -0.6838877993019615 0.17260105282319918 0.5667194478032964 0.36215498448280337 0.8936781394679117 -0.33676121325101993 -0.5880219538889748 0.6545351650270568 -0.1405779500991539 -0.49711394972471057 -0.2787732047878966 -1.0636241973003813 -1.1079192540429474 -1.5749039348666585 1.4740550731377158 -0.5050630979192022 -1.471491026878286 -1.1696869074095 -0.9576911961010254
15 6 0.3431375704428924 0.5693496445941311 -0.6101850456450757 0.14734789792723907 0.4931448964593821 0.3036706391123284 0.8457935796628605 -0.33676121325101993 -0.5880219538889748 0.6545351650270568 -0.1405779500991539 -0.49711394972471057 -0.2787732047878966 -1.0636241973003813 -1.1079192540429474 -1.5749039348666585 1.4740550731377158 -0.5050630979192022 -1.471491026878286 -1.1696869074095 -0.9576911961010254
16 7 0.4707299326995052 0.7484969050342309 -0.7761248489152984 0.20500506209664052 0.6613320418449624 0.44151728045281263 0.9623199178099093 -0.26452718988632157 -0.47987565945119315 0.5481056531188181 -0.10829589769823608 -0.39868370089456073 -0.20635019917802677 -0.9625584276303109 -1.1794008012029873 -1.5281656144841482 1.2966353391479202 -0.5397842877705906 -1.4935681799387603 -1.3808957202221581 -0.41027713920964104
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93,0.9637263049954166,0.9846905737475092,1.0356740253306698,0.9868075680555656,0.9839222934401298,0.9776456466800209,1.053882462340738,0.3710008302273756,0.27718017735312295,-0.21113323947560692,0.32131000128450893,0.3440250368836013,0.3315208298664687,-0.4351855566430478,-0.3710008302273758,-0.2771801773531218,0.2111332394756062,-0.32131000128450754,-0.34402503688359987,-0.3315208298664689,0.4351855566430508
94,0.9822763465067853,0.9985495826151654,1.0251173633568895,1.002873068119791,1.00112354528431,0.9942216881733443,1.0321231845085854,0.3710008302273756,0.27718017735312295,-0.21113323947560692,0.32131000128450893,0.3440250368836013,0.3315208298664687,-0.4351855566430478,-0.3710008302273758,-0.2771801773531218,0.2111332394756062,-0.32131000128450754,-0.34402503688359987,-0.3315208298664689,0.4351855566430508
94,0.9637263049954166,0.9846905737475092,1.0356740253306698,0.9868075680555656,0.9839222934401298,0.9776456466800209,1.053882462340738,0.3710008302273756,0.27718017735312295,-0.21113323947560692,0.32131000128450893,0.3440250368836013,0.3315208298664687,-0.4351855566430478,-0.3710008302273758,-0.2771801773531218,0.2111332394756062,-0.32131000128450754,-0.34402503688359987,-0.3315208298664689,0.4351855566430508
95,0.9822763465067853,0.9985495826151654,1.0251173633568895,1.002873068119791,1.00112354528431,0.9942216881733443,1.0321231845085854,0.3710008302273756,0.27718017735312295,-0.21113323947560692,0.32131000128450893,0.3440250368836013,0.3315208298664687,-0.4351855566430478,-0.3710008302273758,-0.2771801773531218,0.2111332394756062,-0.32131000128450754,-0.34402503688359987,-0.3315208298664689,0.4351855566430508
95,0.9637263049954166,0.9846905737475092,1.0356740253306698,0.9868075680555656,0.9839222934401298,0.9776456466800209,1.053882462340738,0.3710008302273756,0.27718017735312295,-0.21113323947560692,0.32131000128450893,0.3440250368836013,0.3315208298664687,-0.4351855566430478,-0.3710008302273758,-0.2771801773531218,0.2111332394756062,-0.32131000128450754,-0.34402503688359987,-0.3315208298664689,0.4351855566430508
96,0.9822763465067853,0.9985495826151654,1.0251173633568895,1.002873068119791,1.00112354528431,0.9942216881733443,1.0321231845085854,0.3710008302273756,0.27718017735312295,-0.21113323947560692,0.32131000128450893,0.3440250368836013,0.3315208298664687,-0.4351855566430478,-0.3710008302273758,-0.2771801773531218,0.2111332394756062,-0.32131000128450754,-0.34402503688359987,-0.3315208298664689,0.4351855566430508
96,0.9637263049954166,0.9846905737475092,1.0356740253306698,0.9868075680555656,0.9839222934401298,0.9776456466800209,1.053882462340738,0.3710008302273756,0.27718017735312295,-0.21113323947560692,0.32131000128450893,0.3440250368836013,0.3315208298664687,-0.4351855566430478,-0.3710008302273758,-0.2771801773531218,0.2111332394756062,-0.32131000128450754,-0.34402503688359987,-0.3315208298664689,0.4351855566430508
97,0.9822763465067853,0.9985495826151654,1.0251173633568895,1.002873068119791,1.00112354528431,0.9942216881733443,1.0321231845085854,0.3710008302273756,0.27718017735312295,-0.21113323947560692,0.32131000128450893,0.3440250368836013,0.3315208298664687,-0.4351855566430478,-0.3710008302273758,-0.2771801773531218,0.2111332394756062,-0.32131000128450754,-0.34402503688359987,-0.3315208298664689,0.4351855566430508
97,0.9637263049954166,0.9846905737475092,1.0356740253306698,0.9868075680555656,0.9839222934401298,0.9776456466800209,1.053882462340738,0.3710008302273756,0.27718017735312295,-0.21113323947560692,0.32131000128450893,0.3440250368836013,0.3315208298664687,-0.4351855566430478,-0.3710008302273758,-0.2771801773531218,0.2111332394756062,-0.32131000128450754,-0.34402503688359987,-0.3315208298664689,0.4351855566430508
98,0.9822763465067853,0.9985495826151654,1.0251173633568895,1.002873068119791,1.00112354528431,0.9942216881733443,1.0321231845085854,0.3710008302273756,0.27718017735312295,-0.21113323947560692,0.32131000128450893,0.3440250368836013,0.3315208298664687,-0.4351855566430478,-0.3710008302273758,-0.2771801773531218,0.2111332394756062,-0.32131000128450754,-0.34402503688359987,-0.3315208298664689,0.4351855566430508
98,0.9637263049954166,0.9846905737475092,1.0356740253306698,0.9868075680555656,0.9839222934401298,0.9776456466800209,1.053882462340738,0.3710008302273756,0.27718017735312295,-0.21113323947560692,0.32131000128450893,0.3440250368836013,0.3315208298664687,-0.4351855566430478,-0.3710008302273758,-0.2771801773531218,0.2111332394756062,-0.32131000128450754,-0.34402503688359987,-0.3315208298664689,0.4351855566430508
99,0.9822763465067853,0.9985495826151654,1.0251173633568895,1.002873068119791,1.00112354528431,0.9942216881733443,1.0321231845085854,0.3710008302273756,0.27718017735312295,-0.21113323947560692,0.32131000128450893,0.3440250368836013,0.3315208298664687,-0.4351855566430478,-0.3710008302273758,-0.2771801773531218,0.2111332394756062,-0.32131000128450754,-0.34402503688359987,-0.3315208298664689,0.4351855566430508
99,0.9637263049954166,0.9846905737475092,1.0356740253306698,0.9868075680555656,0.9839222934401298,0.9776456466800209,1.053882462340738,0.3710008302273756,0.27718017735312295,-0.21113323947560692,0.32131000128450893,0.3440250368836013,0.3315208298664687,-0.4351855566430478,-0.3710008302273758,-0.2771801773531218,0.2111332394756062,-0.32131000128450754,-0.34402503688359987,-0.3315208298664689,0.4351855566430508
1 k comb_r_s_0 comb_r_s_1 comb_r_s_2 comb_r_s_3 comb_r_s_4 comb_r_s_5 comb_r_s_6 grad_L_0 grad_L_1 grad_L_2 grad_L_3 grad_L_4 grad_L_5 grad_L_6 grad_h_0 grad_h_1 grad_h_2 grad_h_3 grad_h_4 grad_h_5 grad_h_6
2 0 0.036677742121361705 0.043276490197156604 0.07413122396504945 0.04089600302823175 0.039429328936078506 0.03975881440696477 0.08795954701445083 -0.6112755162794097 -0.7213694052620424 -1.2362506028324964 -0.6815630668352821 -0.6570985084007086 -0.6627008583068756 -1.4673087411516332 -0.12227932614782436 -0.14416039868108962 -0.24637387646849257 -0.13635699372935284 -0.1314880703208615 -0.13247542983241978 -0.29188219913738317
3 0 0.030563775813970486 0.03606847026310212 0.06181253014162483 0.03407815334176411 0.03285492542003543 0.03313504291534378 0.07336543705758167 -0.6112755162794097 -0.7213694052620424 -1.2362506028324964 -0.6815630668352821 -0.6570985084007086 -0.6627008583068756 -1.4673087411516332 -0.12227932614782436 -0.14416039868108962 -0.24637387646849257 -0.13635699372935284 -0.1314880703208615 -0.13247542983241978 -0.29188219913738317
4 1 0.07850105684946868 0.09256181858783158 0.158255721197671 0.08753699333295037 0.08440886229225797 0.08505543197342519 0.18753953276292623 -0.574597774158048 -0.6780929150648858 -1.1621193788674469 -0.6406670638070504 -0.6176691794646301 -0.6229420438999109 -1.3793491941371825 -0.2618685204040914 -0.3076136527486136 -0.5203705657849843 -0.29215274228732213 -0.28192148765895914 -0.2829903074292976 -0.612250520832326
5 1 0.06540763082926411 0.0771811359504009 0.13223719290842179 0.07292935621858426 0.07031278790931 0.07090591660196031 0.15692700672130994 -0.574597774158048 -0.6780929150648858 -1.1621193788674469 -0.6406670638070504 -0.6176691794646301 -0.6229420438999109 -1.3793491941371825 -0.2618685204040914 -0.3076136527486136 -0.5203705657849843 -0.29215274228732213 -0.28192148765895914 -0.2829903074292976 -0.612250520832326
6 2 0.12621737082160334 0.14857311310322915 0.2528165331572175 0.1407763320539473 0.13579107484978045 0.13659465214538163 0.2986513588154548 -0.5327744594299411 -0.6288075866742109 -1.0779948816348255 -0.5940260735023317 -0.5726896461084506 -0.5776454263334505 -1.2797692083887071 -0.4215518200127518 -0.49141830363374034 -0.8132213575561054 -0.47076070091760674 -0.4549546050419989 -0.45313897710567813 -0.9424673126618643
7 2 0.10513977982096573 0.12400219792154213 0.2121554652794123 0.11723829700806696 0.1130433445976805 0.11393770329009771 0.2515279931823616 -0.5327744594299411 -0.6288075866742109 -1.0779948816348255 -0.5940260735023317 -0.5726896461084506 -0.5776454263334505 -1.2797692083887071 -0.4215518200127518 -0.49141830363374034 -0.8132213575561054 -0.47076070091760674 -0.4549546050419989 -0.45313897710567813 -0.9424673126618643
8 3 0.18071066991595958 0.21199176148026308 0.3572902227362123 0.20164262823325735 0.1946332367976856 0.19510417870517088 0.4193983355255665 -0.48505814545780634 -0.5727962921588132 -0.9834340696752789 -0.5407867347813349 -0.5213074335509281 -0.5261062061614941 -1.1686573823361783 -0.6048078364293186 -0.6955766753818652 -1.106039721904617 -0.6765391888048659 -0.6555358054071748 -0.6440843250342906 -1.2462821518660565
9 3 0.15047027809449365 0.1772129277111698 0.30198823664098146 0.16781566879301404 0.16185644652732686 0.16289996245345634 0.3570842279322637 -0.48505814545780634 -0.5727962921588132 -0.9834340696752789 -0.5407867347813349 -0.5213074335509281 -0.5261062061614941 -1.1686573823361783 -0.6048078364293186 -0.6955766753818652 -1.106039721904617 -0.6765391888048659 -0.6555358054071748 -0.6440843250342906 -1.2462821518660565
10 4 0.24304420325143053 0.2833866705353825 0.469580695428252 0.271398880167111 0.2622788289427591 0.261303371999999 0.5451700440476527 -0.4305648463634501 -0.5093776437817793 -0.8789603800962842 -0.47992043860202477 -0.462465271603023 -0.46759667960170476 -1.0479104056260669 -0.8161058203459685 -0.9185205373206096 -1.366849073744509 -0.9152046000750482 -0.8904465712984475 -0.8563871862948567 -1.467523764815656
11 4 0.2022389122341321 0.23746064366935205 0.4012382417410265 0.2256386501633586 0.21775650037783675 0.21848401268525613 0.47179385580686983 -0.4305648463634501 -0.5093776437817793 -0.8789603800962842 -0.47992043860202477 -0.462465271603023 -0.46759667960170476 -1.0479104056260669 -0.8161058203459685 -0.9185205373206096 -1.366849073744509 -0.9152046000750482 -0.8904465712984475 -0.8563871862948567 -1.467523764815656
12 5 0.314520218333313 0.3631342412618347 0.5855291378286576 0.351613548848016 0.34045824406837 0.3358852588342508 0.668283142978504 -0.3682313130279792 -0.4379827347266599 -0.7666699074042445 -0.4101641866681711 -0.3948196794579495 -0.40139748630687666 -0.9221386971039806 -1.06128898860967 -1.156968679802383 -1.5522989406038668 -1.1941291869499282 -1.1687686230542687 -1.0902402503781587 -1.5401232815130461
13 5 0.2614557689028295 0.3052858072717155 0.5079141907984642 0.2919070895005196 0.2820198129156566 0.28137324631534283 0.5912769789028517 -0.3682313130279792 -0.4379827347266599 -0.7666699074042445 -0.4101641866681711 -0.3948196794579495 -0.40139748630687666 -0.9221386971039806 -1.06128898860967 -1.156968679802383 -1.5522989406038668 -1.1941291869499282 -1.1687686230542687 -1.0902402503781587 -1.5401232815130461
14 6 0.3967424012481362 0.451392529291906 0.6990714128943315 0.4442015914134187 0.4313600866194022 0.41955988427234736 0.77918921847795 -0.2967552979460967 -0.3582351640002077 -0.6507214650038389 -0.3299495179872661 -0.3166402643323386 -0.32681559947262484 -0.7990255981731292 -1.347688360350367 -1.4069305966012178 -1.6201240363096399 -1.5218113333207886 -1.5013965866883057 -1.3466769092893056 -1.4190959118157906
15 6 0.3293579832306178 0.3810459994618451 0.6180652110788495 0.3681110247473793 0.3562902572849869 0.35222603880788206 0.7082344228871604 -0.2967552979460967 -0.3582351640002077 -0.6507214650038389 -0.3299495179872661 -0.3166402643323386 -0.32681559947262484 -0.7990255981731292 -1.347688360350367 -1.4069305966012178 -1.6201240363096399 -1.5218113333207886 -1.5013965866883057 -1.3466769092893056 -1.4190959118157906
16 7 0.4915818520997021 0.5482140682506652 0.8036718316326298 0.5512637102611591 0.5374788523176929 0.5132091217279544 0.8697912469230028 -0.21453311503127348 -0.2699768759701364 -0.5371791899381649 -0.23736147542186342 -0.22573842178130638 -0.24314097403452828 -0.6881195226736833 -1.6822559020000445 -1.6664539032050487 -1.554829184827802 -1.9038809015329434 -1.8966368921845067 -1.6298437750776136 -1.1239210462273743
17 7 0.4074690569996999 0.4648913730904128 0.7259303723912397 0.45606966518451186 0.44264700770846754 0.43171693297407376 0.8135951946116341 -0.21453311503127348 -0.2699768759701364 -0.5371791899381649 -0.23736147542186342 -0.22573842178130638 -0.24314097403452828 -0.6881195226736833 -1.6822559020000445 -1.6664539032050487 -1.554829184827802 -1.9038809015329434 -1.8966368921845067 -1.6298437750776136 -1.1239210462273743
18 8 0.6006605151610964 0.6537462745159963 0.8949469644371107 0.674171703441025 0.6606358570736344 0.6180183997023254 0.9374543574750153 -0.11969366417970756 -0.1731553370113772 -0.43257877119986665 -0.13029935657412306 -0.11961965608301572 -0.14949173657892123 -0.5975174942286304 -2.061879597048178 -1.9374887882952438 -1.3929238848897512 -2.3278605070231935 -2.3435204390358133 -1.946693822908499 -0.7557447168116188
19 8 0.4975665353086875 0.5568718351012341 0.8253007701926232 0.5577786780898653 0.5434598351218437 0.5206837085569005 0.8996671216344343 -0.11969366417970756 -0.1731553370113772 -0.43257877119986665 -0.13029935657412306 -0.11961965608301572 -0.14949173657892123 -0.5975174942286304 -2.061879597048178 -1.9374887882952438 -1.3929238848897512 -2.3278605070231935 -2.3435204390358133 -1.946693822908499 -0.7557447168116188
20 9 0.7231090497924874 0.76761928745493 0.9724525999963761 0.8103258189580548 0.7985194037758058 0.7345266554148394 0.9865982643910693 -0.010615001118313261 -0.06762313074604609 -0.3413036383953857 -0.007391363394257167 0.0035373486729257664 -0.044682458604550224 -0.529854383676618 -2.438355691509506 -2.209837128032627 -1.2088090727899232 -2.7156909469463386 -2.7612082827163538 -2.2854826556457297 -0.45302375464446476
21 9 0.601191265217012 0.6571274310532986 0.91201214635688 0.6745412716107378 0.6604589896399881 0.6202525226325529 0.9639470766588462 -0.010615001118313261 -0.06762313074604609 -0.3413036383953857 -0.007391363394257167 0.0035373486729257664 -0.044682458604550224 -0.529854383676618 -2.438355691509506 -2.209837128032627 -1.2088090727899232 -2.7156909469463386 -2.7612082827163538 -2.2854826556457297 -0.45302375464446476
22 10 0.8480682297633584 0.883457919890329 1.0356157123720888 0.9436623911649384 0.9347871035159353 0.8563304886236638 1.0250795609559746 0.11183353351307768 0.046249882192887615 -0.2637980028361203 0.12876275212277266 0.14142089537509717 0.07182579710796377 -0.4807104767605639 -2.611017132930498 -2.3630225309008663 -0.9994642446781357 -2.7954941962604454 -2.8667748901776884 -2.507902461284451 -0.28891545453754586
23 10 0.7175173731168335 0.7653067933452856 0.9856425001381821 0.8038876813519161 0.7914483590070509 0.7309353655594413 1.0106337882290974 0.11183353351307768 0.046249882192887615 -0.2637980028361203 0.12876275212277266 0.14142089537509717 0.07182579710796377 -0.4807104767605639 -2.611017132930498 -2.3630225309008663 -0.9994642446781357 -2.7954941962604454 -2.8667748901776884 -2.507902461284451 -0.28891545453754586
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182 90 0.9822763465067853 0.9985495826151654 1.0251173633568895 1.002873068119791 1.00112354528431 0.9942216881733443 1.0321231845085854 0.3710008302273756 0.27718017735312295 -0.21113323947560692 0.32131000128450893 0.3440250368836013 0.3315208298664687 -0.4351855566430478 -0.3710008302273758 -0.2771801773531218 0.2111332394756062 -0.32131000128450754 -0.34402503688359987 -0.3315208298664689 0.4351855566430508
183 90 0.9637263049954166 0.9846905737475092 1.0356740253306698 0.9868075680555656 0.9839222934401298 0.9776456466800209 1.053882462340738 0.3710008302273756 0.27718017735312295 -0.21113323947560692 0.32131000128450893 0.3440250368836013 0.3315208298664687 -0.4351855566430478 -0.3710008302273758 -0.2771801773531218 0.2111332394756062 -0.32131000128450754 -0.34402503688359987 -0.3315208298664689 0.4351855566430508
184 91 0.9822763465067853 0.9985495826151654 1.0251173633568895 1.002873068119791 1.00112354528431 0.9942216881733443 1.0321231845085854 0.3710008302273756 0.27718017735312295 -0.21113323947560692 0.32131000128450893 0.3440250368836013 0.3315208298664687 -0.4351855566430478 -0.3710008302273758 -0.2771801773531218 0.2111332394756062 -0.32131000128450754 -0.34402503688359987 -0.3315208298664689 0.4351855566430508
185 91 0.9637263049954166 0.9846905737475092 1.0356740253306698 0.9868075680555656 0.9839222934401298 0.9776456466800209 1.053882462340738 0.3710008302273756 0.27718017735312295 -0.21113323947560692 0.32131000128450893 0.3440250368836013 0.3315208298664687 -0.4351855566430478 -0.3710008302273758 -0.2771801773531218 0.2111332394756062 -0.32131000128450754 -0.34402503688359987 -0.3315208298664689 0.4351855566430508
186 92 0.9822763465067853 0.9985495826151654 1.0251173633568895 1.002873068119791 1.00112354528431 0.9942216881733443 1.0321231845085854 0.3710008302273756 0.27718017735312295 -0.21113323947560692 0.32131000128450893 0.3440250368836013 0.3315208298664687 -0.4351855566430478 -0.3710008302273758 -0.2771801773531218 0.2111332394756062 -0.32131000128450754 -0.34402503688359987 -0.3315208298664689 0.4351855566430508
187 92 0.9637263049954166 0.9846905737475092 1.0356740253306698 0.9868075680555656 0.9839222934401298 0.9776456466800209 1.053882462340738 0.3710008302273756 0.27718017735312295 -0.21113323947560692 0.32131000128450893 0.3440250368836013 0.3315208298664687 -0.4351855566430478 -0.3710008302273758 -0.2771801773531218 0.2111332394756062 -0.32131000128450754 -0.34402503688359987 -0.3315208298664689 0.4351855566430508
188 93 0.9822763465067853 0.9985495826151654 1.0251173633568895 1.002873068119791 1.00112354528431 0.9942216881733443 1.0321231845085854 0.3710008302273756 0.27718017735312295 -0.21113323947560692 0.32131000128450893 0.3440250368836013 0.3315208298664687 -0.4351855566430478 -0.3710008302273758 -0.2771801773531218 0.2111332394756062 -0.32131000128450754 -0.34402503688359987 -0.3315208298664689 0.4351855566430508
189 93 0.9637263049954166 0.9846905737475092 1.0356740253306698 0.9868075680555656 0.9839222934401298 0.9776456466800209 1.053882462340738 0.3710008302273756 0.27718017735312295 -0.21113323947560692 0.32131000128450893 0.3440250368836013 0.3315208298664687 -0.4351855566430478 -0.3710008302273758 -0.2771801773531218 0.2111332394756062 -0.32131000128450754 -0.34402503688359987 -0.3315208298664689 0.4351855566430508
190 94 0.9822763465067853 0.9985495826151654 1.0251173633568895 1.002873068119791 1.00112354528431 0.9942216881733443 1.0321231845085854 0.3710008302273756 0.27718017735312295 -0.21113323947560692 0.32131000128450893 0.3440250368836013 0.3315208298664687 -0.4351855566430478 -0.3710008302273758 -0.2771801773531218 0.2111332394756062 -0.32131000128450754 -0.34402503688359987 -0.3315208298664689 0.4351855566430508
191 94 0.9637263049954166 0.9846905737475092 1.0356740253306698 0.9868075680555656 0.9839222934401298 0.9776456466800209 1.053882462340738 0.3710008302273756 0.27718017735312295 -0.21113323947560692 0.32131000128450893 0.3440250368836013 0.3315208298664687 -0.4351855566430478 -0.3710008302273758 -0.2771801773531218 0.2111332394756062 -0.32131000128450754 -0.34402503688359987 -0.3315208298664689 0.4351855566430508
192 95 0.9822763465067853 0.9985495826151654 1.0251173633568895 1.002873068119791 1.00112354528431 0.9942216881733443 1.0321231845085854 0.3710008302273756 0.27718017735312295 -0.21113323947560692 0.32131000128450893 0.3440250368836013 0.3315208298664687 -0.4351855566430478 -0.3710008302273758 -0.2771801773531218 0.2111332394756062 -0.32131000128450754 -0.34402503688359987 -0.3315208298664689 0.4351855566430508
193 95 0.9637263049954166 0.9846905737475092 1.0356740253306698 0.9868075680555656 0.9839222934401298 0.9776456466800209 1.053882462340738 0.3710008302273756 0.27718017735312295 -0.21113323947560692 0.32131000128450893 0.3440250368836013 0.3315208298664687 -0.4351855566430478 -0.3710008302273758 -0.2771801773531218 0.2111332394756062 -0.32131000128450754 -0.34402503688359987 -0.3315208298664689 0.4351855566430508
194 96 0.9822763465067853 0.9985495826151654 1.0251173633568895 1.002873068119791 1.00112354528431 0.9942216881733443 1.0321231845085854 0.3710008302273756 0.27718017735312295 -0.21113323947560692 0.32131000128450893 0.3440250368836013 0.3315208298664687 -0.4351855566430478 -0.3710008302273758 -0.2771801773531218 0.2111332394756062 -0.32131000128450754 -0.34402503688359987 -0.3315208298664689 0.4351855566430508
195 96 0.9637263049954166 0.9846905737475092 1.0356740253306698 0.9868075680555656 0.9839222934401298 0.9776456466800209 1.053882462340738 0.3710008302273756 0.27718017735312295 -0.21113323947560692 0.32131000128450893 0.3440250368836013 0.3315208298664687 -0.4351855566430478 -0.3710008302273758 -0.2771801773531218 0.2111332394756062 -0.32131000128450754 -0.34402503688359987 -0.3315208298664689 0.4351855566430508
196 97 0.9822763465067853 0.9985495826151654 1.0251173633568895 1.002873068119791 1.00112354528431 0.9942216881733443 1.0321231845085854 0.3710008302273756 0.27718017735312295 -0.21113323947560692 0.32131000128450893 0.3440250368836013 0.3315208298664687 -0.4351855566430478 -0.3710008302273758 -0.2771801773531218 0.2111332394756062 -0.32131000128450754 -0.34402503688359987 -0.3315208298664689 0.4351855566430508
197 97 0.9637263049954166 0.9846905737475092 1.0356740253306698 0.9868075680555656 0.9839222934401298 0.9776456466800209 1.053882462340738 0.3710008302273756 0.27718017735312295 -0.21113323947560692 0.32131000128450893 0.3440250368836013 0.3315208298664687 -0.4351855566430478 -0.3710008302273758 -0.2771801773531218 0.2111332394756062 -0.32131000128450754 -0.34402503688359987 -0.3315208298664689 0.4351855566430508
198 98 0.9822763465067853 0.9985495826151654 1.0251173633568895 1.002873068119791 1.00112354528431 0.9942216881733443 1.0321231845085854 0.3710008302273756 0.27718017735312295 -0.21113323947560692 0.32131000128450893 0.3440250368836013 0.3315208298664687 -0.4351855566430478 -0.3710008302273758 -0.2771801773531218 0.2111332394756062 -0.32131000128450754 -0.34402503688359987 -0.3315208298664689 0.4351855566430508
199 98 0.9637263049954166 0.9846905737475092 1.0356740253306698 0.9868075680555656 0.9839222934401298 0.9776456466800209 1.053882462340738 0.3710008302273756 0.27718017735312295 -0.21113323947560692 0.32131000128450893 0.3440250368836013 0.3315208298664687 -0.4351855566430478 -0.3710008302273758 -0.2771801773531218 0.2111332394756062 -0.32131000128450754 -0.34402503688359987 -0.3315208298664689 0.4351855566430508
200 99 0.9822763465067853 0.9985495826151654 1.0251173633568895 1.002873068119791 1.00112354528431 0.9942216881733443 1.0321231845085854 0.3710008302273756 0.27718017735312295 -0.21113323947560692 0.32131000128450893 0.3440250368836013 0.3315208298664687 -0.4351855566430478 -0.3710008302273758 -0.2771801773531218 0.2111332394756062 -0.32131000128450754 -0.34402503688359987 -0.3315208298664689 0.4351855566430508
201 99 0.9637263049954166 0.9846905737475092 1.0356740253306698 0.9868075680555656 0.9839222934401298 0.9776456466800209 1.053882462340738 0.3710008302273756 0.27718017735312295 -0.21113323947560692 0.32131000128450893 0.3440250368836013 0.3315208298664687 -0.4351855566430478 -0.3710008302273758 -0.2771801773531218 0.2111332394756062 -0.32131000128450754 -0.34402503688359987 -0.3315208298664689 0.4351855566430508

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$pdflatex="pdflatex -interaction=nonstopmode %O %S";
$out_dir = 'build';

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mkdir -p build/build
latexmk -pdf

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\documentclass[10pt, aspectratio=169]{beamer}
\usepackage[utf8]{inputenc}
\usepackage[T1]{fontenc}
% \usepackage[ngerman]{babel}
%\usepackage{amsmath}
\usepackage{float}
\usepackage{tikz}
\usepackage{pgfplots}
\pgfplotsset{compat=newest}
\usepackage{subcaption}
\usepackage{listings}
\usepackage{graphicx}
\usepackage{xcolor}
\usepgfplotslibrary{colorbrewer}
\usepgfplotslibrary{external}
%\tikzexternalize[prefix=build/]
\newcommand{\templates}{../lib}
% packages to be included
\input{\templates/packages.tex}
% modifications to stick to new KIT style
\input{\templates/modifications.tex}
% marcos used throughout the slides
\input{\templates/makros_own.tex}
\title{BA Besprechung - 17.12.2022}
\author{Andreas Tsouchlos}
\institute{Karlsruhe Institute of Technology (KIT), \\ Communications Engineering Lab (CEL) }
\pgfplotsset{
discard if/.style 2 args={
x filter/.code={
\edef\tempa{\thisrow{#1}}
\edef\tempb{#2}
\ifx\tempa\tempb
\def\pgfmathresult{inf}
\fi
}
},
discard if not/.style 2 args={
x filter/.code={
\edef\tempa{\thisrow{#1}}
\edef\tempb{#2}
\ifx\tempa\tempb
\else
\def\pgfmathresult{inf}
\fi
}
}
}
\begin{document}
\begin{frame}[plain]
\maketitle
\end{frame}
\begin{frame}[t]
\frametitle{Convergance behaviour ($n=204, k=102$)}
\begin{figure}[H]
\centering
\includegraphics[width=0.6\textwidth, trim=2cm 2cm 2cm 2cm,clip]{res/extreme_components}
\caption{Components with lowest $Var\left\{ \nabla h \right\} $}
\end{figure}
\end{frame}
\begin{frame}[t]
\frametitle{Convergance behaviour ($n=204, k=102$)}
\begin{figure}[H]
\centering
\includegraphics[width=0.45\textwidth]{res/variances_correlation}
\caption{Correlation between estimate variance and correctness}
\end{figure}
\end{frame}
\begin{frame}[t]
\frametitle{Proximal vs. Hybrid Proximal ML Approach}
\begin{figure}[H]
\centering
\begin{tikzpicture}[scale=0.55]
\begin{axis}[
grid=both,
xlabel={SNR}, ylabel={BER},
ymode=log,
xtick={1, 2, ..., 8},
xmin=0, xmax=8,
ymin=1e-7, ymax=0,
]
\addplot table [col sep=comma, x=SNR, y=BER, discard if not={gamma}{0.05}] {res/2d_ber_fer_dfr_20433484_proximal.csv};
\addlegendentry{proximal}
\addplot table [col sep=comma, x=SNR, y=BER, discard if not={gamma}{0.05}] {res/2d_ber_fer_dfr_20433484_hybrid.csv};
\addlegendentry{hybrid}
\end{axis}
\end{tikzpicture}
\begin{tikzpicture}[scale=0.55]
\begin{axis}[
grid=both,
xlabel={SNR}, ylabel={FER},
ymode=log,
xtick={1, 2, ..., 8},
xmin=0, xmax=8,
ymin=1e-7, ymax=0,
]
\addplot table [col sep=comma, x=SNR, y=FER, discard if not={gamma}{0.05}] {res/2d_ber_fer_dfr_20433484_proximal.csv};
\addlegendentry{proximal}
\addplot table [col sep=comma, x=SNR, y=FER, discard if not={gamma}{0.05}] {res/2d_ber_fer_dfr_20433484_hybrid.csv};
\addlegendentry{hybrid}
\end{axis}
\end{tikzpicture}
\begin{tikzpicture}[scale=0.55]
\begin{axis}[
grid=both,
xlabel={SNR}, ylabel={DFR},
xmin=0, xmax=8,
ymode=log,
xtick={1, 2, ..., 8},
ymin=1e-7, ymax=0,
]
\addplot table [col sep=comma, x=SNR, y=DFR, discard if not={gamma}{0.05}] {res/2d_ber_fer_dfr_20433484_proximal.csv};
\addlegendentry{proximal}
\addplot table [col sep=comma, x=SNR, y=DFR, discard if not={gamma}{0.05}] {res/2d_ber_fer_dfr_20433484_hybrid.csv};
\addlegendentry{hybrid}
\end{axis}
\end{tikzpicture}
\caption{$\gamma=0.05, \omega=0.05, K=100$}
\label{fig:}
\end{figure}
\end{frame}
\end{document}

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SNR,gamma,BER,FER,DFR,num_iterations
1.0,0.01,0.08857503397398564,1.0,0.5,101.0
1.5,0.01,0.07048353321911288,0.9805825242718447,0.4950980392156863,103.0
2.0,0.01,0.05350140056022409,0.9619047619047619,0.49029126213592233,105.0
2.5,0.01,0.03744921391980215,0.9099099099099099,0.47641509433962265,111.0
3.0,0.01,0.025939542483660132,0.8416666666666667,0.45701357466063347,120.0
3.5,0.01,0.014778503994190268,0.7481481481481481,0.4279661016949153,135.0
4.0,0.01,0.00835057641146911,0.507537688442211,0.33666666666666667,199.0
4.5,0.01,0.004282382097820541,0.3754646840148699,0.27297297297297296,269.0
5.0,0.01,0.0015746260263187492,0.1931166347992352,0.16185897435897437,523.0
5.5,0.01,0.00065359477124183,0.08523206751054853,0.07853810264385692,1185.0
6.0,0.01,0.0003127631420666426,0.04130879345603272,0.0396700706991359,2445.0
6.5,0.01,0.00011029974518507847,0.015459972447573855,0.015224600542659028,6533.0
7.0,0.01,2.7036508518478465e-05,0.00452894489036366,0.004508526024462101,22301.0
7.5,0.01,8.101366552599426e-06,0.0014514830995631179,0.001449379349931836,69584.0
1.0,0.05,0.0871559633027523,0.926605504587156,0.48095238095238096,109.0
1.5,0.05,0.06592721834496511,0.8559322033898306,0.4611872146118721,118.0
2.0,0.05,0.04344614558152028,0.6917808219178082,0.4089068825910931,146.0
2.5,0.05,0.023415412676698586,0.4697674418604651,0.31962025316455694,215.0
3.0,0.05,0.010770665574814613,0.23433874709976799,0.18984962406015038,431.0
3.5,0.05,0.0049633888643176565,0.12656641604010024,0.11234705228031146,798.0
4.0,0.05,0.00151358011559054,0.045660036166365284,0.043666234327712924,2212.0
4.5,0.05,0.0003522100063308634,0.011482492041837199,0.011352141171181298,8796.0
5.0,0.05,8.711464887548632e-05,0.0030893463432539077,0.003079831676526194,32693.0
5.5,0.05,1.669054519578649e-05,0.0005991149707560712,0.000598756246924705,168582.0
6.0,0.05,3.872549019607843e-06,0.00014,0.00013998040274361588,500000.0
6.5,0.05,8.137254901960785e-07,3.4e-05,3.3998844039302665e-05,500000.0
7.0,0.05,9.80392156862745e-08,4e-06,3.9999840000639995e-06,500000.0
7.5,0.05,0.0,0.0,0.0,500000.0
1.0,0.15,0.36318190642593673,1.0,0.5,101.0
1.5,0.15,0.35721219180741604,1.0,0.5,101.0
2.0,0.15,0.3584740827023879,1.0,0.5,101.0
2.5,0.15,0.3616288099398175,1.0,0.5,101.0
3.0,0.15,0.34989529792499524,0.9805825242718447,0.4950980392156863,103.0
3.5,0.15,0.34784884827717494,0.9805825242718447,0.4950980392156863,103.0
4.0,0.15,0.3346744358120607,0.9528301886792453,0.48792270531400966,106.0
4.5,0.15,0.32926378098409176,0.9528301886792453,0.48792270531400966,106.0
5.0,0.15,0.3075335397316821,0.8859649122807017,0.4697674418604651,114.0
5.5,0.15,0.31763845889232883,0.8859649122807017,0.4697674418604651,114.0
6.0,0.15,0.2609212802768166,0.7426470588235294,0.42616033755274263,136.0
6.5,0.15,0.21796218487394958,0.6011904761904762,0.3754646840148699,168.0
7.0,0.15,0.16116533949824471,0.4410480349344978,0.30606060606060603,229.0
7.5,0.15,0.11419180852856903,0.28939828080229224,0.22444444444444445,349.0
1 SNR gamma BER FER DFR num_iterations
2 1.0 0.01 0.08857503397398564 1.0 0.5 101.0
3 1.5 0.01 0.07048353321911288 0.9805825242718447 0.4950980392156863 103.0
4 2.0 0.01 0.05350140056022409 0.9619047619047619 0.49029126213592233 105.0
5 2.5 0.01 0.03744921391980215 0.9099099099099099 0.47641509433962265 111.0
6 3.0 0.01 0.025939542483660132 0.8416666666666667 0.45701357466063347 120.0
7 3.5 0.01 0.014778503994190268 0.7481481481481481 0.4279661016949153 135.0
8 4.0 0.01 0.00835057641146911 0.507537688442211 0.33666666666666667 199.0
9 4.5 0.01 0.004282382097820541 0.3754646840148699 0.27297297297297296 269.0
10 5.0 0.01 0.0015746260263187492 0.1931166347992352 0.16185897435897437 523.0
11 5.5 0.01 0.00065359477124183 0.08523206751054853 0.07853810264385692 1185.0
12 6.0 0.01 0.0003127631420666426 0.04130879345603272 0.0396700706991359 2445.0
13 6.5 0.01 0.00011029974518507847 0.015459972447573855 0.015224600542659028 6533.0
14 7.0 0.01 2.7036508518478465e-05 0.00452894489036366 0.004508526024462101 22301.0
15 7.5 0.01 8.101366552599426e-06 0.0014514830995631179 0.001449379349931836 69584.0
16 1.0 0.05 0.0871559633027523 0.926605504587156 0.48095238095238096 109.0
17 1.5 0.05 0.06592721834496511 0.8559322033898306 0.4611872146118721 118.0
18 2.0 0.05 0.04344614558152028 0.6917808219178082 0.4089068825910931 146.0
19 2.5 0.05 0.023415412676698586 0.4697674418604651 0.31962025316455694 215.0
20 3.0 0.05 0.010770665574814613 0.23433874709976799 0.18984962406015038 431.0
21 3.5 0.05 0.0049633888643176565 0.12656641604010024 0.11234705228031146 798.0
22 4.0 0.05 0.00151358011559054 0.045660036166365284 0.043666234327712924 2212.0
23 4.5 0.05 0.0003522100063308634 0.011482492041837199 0.011352141171181298 8796.0
24 5.0 0.05 8.711464887548632e-05 0.0030893463432539077 0.003079831676526194 32693.0
25 5.5 0.05 1.669054519578649e-05 0.0005991149707560712 0.000598756246924705 168582.0
26 6.0 0.05 3.872549019607843e-06 0.00014 0.00013998040274361588 500000.0
27 6.5 0.05 8.137254901960785e-07 3.4e-05 3.3998844039302665e-05 500000.0
28 7.0 0.05 9.80392156862745e-08 4e-06 3.9999840000639995e-06 500000.0
29 7.5 0.05 0.0 0.0 0.0 500000.0
30 1.0 0.15 0.36318190642593673 1.0 0.5 101.0
31 1.5 0.15 0.35721219180741604 1.0 0.5 101.0
32 2.0 0.15 0.3584740827023879 1.0 0.5 101.0
33 2.5 0.15 0.3616288099398175 1.0 0.5 101.0
34 3.0 0.15 0.34989529792499524 0.9805825242718447 0.4950980392156863 103.0
35 3.5 0.15 0.34784884827717494 0.9805825242718447 0.4950980392156863 103.0
36 4.0 0.15 0.3346744358120607 0.9528301886792453 0.48792270531400966 106.0
37 4.5 0.15 0.32926378098409176 0.9528301886792453 0.48792270531400966 106.0
38 5.0 0.15 0.3075335397316821 0.8859649122807017 0.4697674418604651 114.0
39 5.5 0.15 0.31763845889232883 0.8859649122807017 0.4697674418604651 114.0
40 6.0 0.15 0.2609212802768166 0.7426470588235294 0.42616033755274263 136.0
41 6.5 0.15 0.21796218487394958 0.6011904761904762 0.3754646840148699 168.0
42 7.0 0.15 0.16116533949824471 0.4410480349344978 0.30606060606060603 229.0
43 7.5 0.15 0.11419180852856903 0.28939828080229224 0.22444444444444445 349.0

View File

@@ -0,0 +1,9 @@
{
"duration": 351.4174764650015,
"name": "2d_BER_FER_DFR_20433484",
"platform": "Linux-6.1.6-arch1-1-x86_64-with-glibc2.36",
"omega": 0.05,
"K": 200,
"min_var_k": 150,
"end_time": "2023-01-17 18:33:23.676873"
}

View File

@@ -0,0 +1,239 @@
SNR,gamma,BER,FER,DFR,num_iterations
1.0,0.0,0.13016889924286545,1.0,0.5,101.0
1.5,0.0,0.11390992040380508,1.0,0.5,101.0
2.0,0.0,0.10430013589594253,1.0,0.5,101.0
2.5,0.0,0.09017666472529606,1.0,0.5,101.0
3.0,0.0,0.08182877111240536,1.0,0.5,101.0
3.5,0.0,0.06887012230634829,1.0,0.5,101.0
4.0,0.0,0.057173364395263056,1.0,0.5,101.0
4.5,0.0,0.04610755193166376,1.0,0.5,101.0
5.0,0.0,0.03601242477188896,1.0,0.5,101.0
5.5,0.0,0.03195886197616302,0.9901960784313726,0.4975369458128079,102.0
6.0,0.0,0.02397592700446515,1.0,0.5,101.0
6.5,0.0,0.017445213379469436,0.9901960784313726,0.4975369458128079,102.0
7.0,0.0,0.01270053475935829,0.9181818181818182,0.4786729857819905,110.0
7.5,0.0,0.007798573975044563,0.7651515151515151,0.4334763948497854,132.0
1.0,0.01,0.09410794020578528,1.0,0.5,101.0
1.5,0.01,0.06997308727412534,0.9901960784313726,0.4975369458128079,102.0
2.0,0.01,0.05644393679802018,0.9805825242718447,0.4950980392156863,103.0
2.5,0.01,0.03820780648708082,0.9439252336448598,0.4855769230769231,107.0
3.0,0.01,0.025490196078431372,0.9181818181818182,0.4786729857819905,110.0
3.5,0.01,0.014961954931226222,0.753731343283582,0.4297872340425532,134.0
4.0,0.01,0.007832183152590644,0.5642458100558659,0.3607142857142857,179.0
4.5,0.01,0.003332051774958349,0.3300653594771242,0.24815724815724816,306.0
5.0,0.01,0.0017192128650021159,0.18165467625899281,0.1537290715372907,556.0
5.5,0.01,0.0007640035685135623,0.09777347531461762,0.0890652557319224,1033.0
6.0,0.01,0.0002406292110111927,0.03541374474053296,0.03420250592617677,2852.0
6.5,0.01,9.533468559837728e-05,0.013931034482758621,0.01373962726159706,7250.0
7.0,0.01,2.8408296271432968e-05,0.004502496433666191,0.004482314827142413,22432.0
7.5,0.01,7.857008939650586e-06,0.001395567346487592,0.0013936224524995515,72372.0
1.0,0.02,0.09030180699730873,0.9901960784313726,0.4975369458128079,102.0
1.5,0.02,0.06522331154684095,0.9351851851851852,0.48325358851674644,108.0
2.0,0.02,0.049919050188882895,0.926605504587156,0.48095238095238096,109.0
2.5,0.02,0.028994576554025864,0.7163120567375887,0.41735537190082644,141.0
3.0,0.02,0.01815435476516188,0.5872093023255814,0.36996336996337,172.0
3.5,0.02,0.009278711484593838,0.4007936507936508,0.28611898016997167,252.0
4.0,0.02,0.003515158519203359,0.19842829076620824,0.16557377049180327,509.0
4.5,0.02,0.0013487523022509087,0.08395677472984206,0.07745398773006135,1203.0
5.0,0.02,0.0004013143719026072,0.027747252747252746,0.026998128842555466,3640.0
5.5,0.02,0.00016504731356322146,0.011449948985375808,0.011320331764178435,8821.0
6.0,0.02,4.437431042911285e-05,0.0030375026314998044,0.0030283041496761815,33251.0
6.5,0.02,1.2192094202770043e-05,0.000845811141258835,0.0008450963493511167,119412.0
7.0,0.02,2.764705882352941e-06,0.000196,0.0001959615915280605,500000.0
7.5,0.02,6.96078431372549e-07,4.8e-05,4.799769611058669e-05,500000.0
1.0,0.03,0.09037692747001713,0.9805825242718447,0.4950980392156863,103.0
1.5,0.03,0.06437619295505813,0.8938053097345132,0.4719626168224299,113.0
2.0,0.03,0.04964273845131273,0.8559322033898306,0.4611872146118721,118.0
2.5,0.03,0.026193913148081317,0.6196319018404908,0.38257575757575757,163.0
3.0,0.03,0.01603641456582633,0.48095238095238096,0.3247588424437299,210.0
3.5,0.03,0.007452113793494276,0.29190751445086704,0.22595078299776286,346.0
4.0,0.03,0.0028573605608046325,0.13082901554404144,0.1156930126002291,772.0
4.5,0.03,0.0010247036667774454,0.05706214689265537,0.053981827899518976,1770.0
5.0,0.03,0.0003044266400985235,0.017819336626676077,0.01750736696134512,5668.0
5.5,0.03,0.00012169749196725593,0.007310364794441228,0.007257311202126895,13816.0
6.0,0.03,3.56236823804658e-05,0.0020911406033251208,0.002086776859504132,48299.0
6.5,0.03,1.0374588367264038e-05,0.0006638447786307709,0.0006634043810962593,152144.0
7.0,0.03,2.3627450980392157e-06,0.000152,0.0001519768995112743,500000.0
7.5,0.03,5.196078431372548e-07,3.4e-05,3.3998844039302665e-05,500000.0
1.0,0.04,0.09207362190159082,0.9528301886792453,0.48792270531400966,106.0
1.5,0.04,0.06675191815856778,0.8782608695652174,0.4675925925925926,115.0
2.0,0.04,0.04750233426704015,0.8015873015873016,0.44493392070484583,126.0
2.5,0.04,0.026018099547511313,0.5976331360946746,0.37407407407407406,169.0
3.0,0.04,0.012881896944824441,0.39147286821705424,0.28133704735376047,258.0
3.5,0.04,0.0065840061514802,0.24754901960784315,0.19842829076620824,408.0
4.0,0.04,0.0026100649280614337,0.1111111111111111,0.1,909.0
4.5,0.04,0.0009278379283402166,0.04791271347248577,0.045722046174739704,2108.0
5.0,0.04,0.0002976899261728983,0.016356275303643725,0.016093052899936264,6175.0
5.5,0.04,0.00011358050437191844,0.006394023803494555,0.0063534000125809904,15796.0
6.0,0.04,4.008014206588538e-05,0.0023460546793338134,0.0023405635891731555,43051.0
6.5,0.04,1.0293767220940665e-05,0.0006446589052287582,0.000644243587862706,156672.0
7.0,0.04,2.450980392156863e-06,0.000154,0.00015397628765170164,500000.0
7.5,0.04,6.176470588235294e-07,4e-05,3.999840006399744e-05,500000.0
1.0,0.05,0.0947558268590455,0.9528301886792453,0.48792270531400966,106.0
1.5,0.05,0.06581415174765558,0.8782608695652174,0.4675925925925926,115.0
2.0,0.05,0.047244094488188976,0.7952755905511811,0.44298245614035087,127.0
2.5,0.05,0.02558940242763772,0.6011904761904762,0.3754646840148699,168.0
3.0,0.05,0.012649629140045532,0.3782771535580524,0.27445652173913043,267.0
3.5,0.05,0.00588833094213295,0.20528455284552846,0.1703204047217538,492.0
4.0,0.05,0.002538604818842757,0.10316649642492338,0.09351851851851851,979.0
4.5,0.05,0.0009202565784678184,0.046933085501858735,0.044829116733244564,2152.0
5.0,0.05,0.0002940220301384533,0.01641742522756827,0.01615224692147769,6152.0
5.5,0.05,0.00011692575119219662,0.006564409203171715,0.006521598760250533,15386.0
6.0,0.05,3.577639534879112e-05,0.002041930331763136,0.0020377693487208456,49463.0
6.5,0.05,1.0852103196792829e-05,0.0006775658614143013,0.0006771070767745569,149063.0
7.0,0.05,2.3725490196078433e-06,0.00015,0.00014997750337449384,500000.0
7.5,0.05,6.568627450980392e-07,4.2e-05,4.199823607408489e-05,500000.0
1.0,0.06,0.0957732149463559,0.9528301886792453,0.48792270531400966,106.0
1.5,0.06,0.06699346405228758,0.8632478632478633,0.463302752293578,117.0
2.0,0.06,0.05048633626679018,0.7952755905511811,0.44298245614035087,127.0
2.5,0.06,0.026059274284426413,0.5804597701149425,0.36727272727272725,174.0
3.0,0.06,0.012814863773224645,0.3782771535580524,0.27445652173913043,267.0
3.5,0.06,0.006304073735924525,0.22394678492239467,0.18297101449275363,451.0
4.0,0.06,0.0025645685668706205,0.10401647785787847,0.09421641791044776,971.0
4.5,0.06,0.0008676426545460951,0.04537286612758311,0.04340352385045122,2226.0
5.0,0.06,0.0003190777623385312,0.017672790901137356,0.01736588720770289,5715.0
5.5,0.06,0.00012802567341504216,0.00732733604178758,0.00727403673028448,13784.0
6.0,0.06,3.7053184014162366e-05,0.0021265844106623994,0.0021220716461813217,47494.0
6.5,0.06,1.0274078481140562e-05,0.0006473612019125999,0.00064694239650523,156018.0
7.0,0.06,2.46078431372549e-06,0.000156,0.00015597566779582386,500000.0
7.5,0.06,5.490196078431373e-07,3.6e-05,3.599870404665432e-05,500000.0
1.0,0.07,0.09734554199038106,0.9528301886792453,0.48792270531400966,106.0
1.5,0.07,0.06668356997971603,0.8706896551724138,0.46543778801843316,116.0
2.0,0.07,0.0509344362745098,0.7890625,0.4410480349344978,128.0
2.5,0.07,0.026284651791751185,0.5804597701149425,0.36727272727272725,174.0
3.0,0.07,0.01309025482852317,0.3782771535580524,0.27445652173913043,267.0
3.5,0.07,0.006422119409561578,0.22696629213483147,0.184981684981685,445.0
4.0,0.07,0.002640349738129247,0.11147902869757174,0.1002979145978153,906.0
4.5,0.07,0.0009502336090686274,0.04931640625,0.04699860400186133,2048.0
5.0,0.07,0.0003310118602339736,0.018090632276553824,0.01776917663617171,5583.0
5.5,0.07,0.00011619651767974708,0.0065772336545975515,0.006534256323995601,15356.0
6.0,0.07,3.877701447136334e-05,0.002250596073712592,0.002245542265107386,44877.0
6.5,0.07,1.1830786200915143e-05,0.0007386712693444109,0.0007381260368478364,136732.0
7.0,0.07,2.7549019607843135e-06,0.000172,0.00017197042108757293,500000.0
7.5,0.07,4.901960784313725e-07,3.2e-05,3.199897603276695e-05,500000.0
1.0,0.08,0.09487813817115631,0.9439252336448598,0.4855769230769231,107.0
1.5,0.08,0.06786680189317106,0.8706896551724138,0.46543778801843316,116.0
2.0,0.08,0.05188536953242836,0.7769230769230769,0.43722943722943725,130.0
2.5,0.08,0.027359781121751026,0.5872093023255814,0.36996336996337,172.0
3.0,0.08,0.01338979171435111,0.39299610894941633,0.28212290502793297,257.0
3.5,0.08,0.006565126050420168,0.22544642857142858,0.18397085610200364,448.0
4.0,0.08,0.0026592336280917596,0.11002178649237472,0.09911678115799803,918.0
4.5,0.08,0.0010749450642325896,0.05441810344827586,0.0516096065406234,1856.0
5.0,0.08,0.00036965605914496947,0.019479267116682738,0.01910707529322739,5185.0
5.5,0.08,0.00012361614795691875,0.007035876001393243,0.0069867183176535695,14355.0
6.0,0.08,4.2284025381882086e-05,0.002461073612904798,0.002455031599416626,41039.0
6.5,0.08,1.2240792065738477e-05,0.0007551176039595078,0.0007545478316088305,133754.0
7.0,0.08,2.715686274509804e-06,0.000172,0.00017197042108757293,500000.0
7.5,0.08,5.588235294117647e-07,3.6e-05,3.599870404665432e-05,500000.0
1.0,0.09,0.09762301146873843,0.9528301886792453,0.48792270531400966,106.0
1.5,0.09,0.06987444100447196,0.8859649122807017,0.4697674418604651,114.0
2.0,0.09,0.0531496062992126,0.7952755905511811,0.44298245614035087,127.0
2.5,0.09,0.028342245989304814,0.6121212121212121,0.37969924812030076,165.0
3.0,0.09,0.015068990559186637,0.4156378600823045,0.2936046511627907,243.0
3.5,0.09,0.006645114942528735,0.21767241379310345,0.17876106194690267,464.0
4.0,0.09,0.0026683622451197774,0.11197339246119734,0.10069790628115653,902.0
4.5,0.09,0.0011544262675484394,0.059763313609467454,0.056393076493579004,1690.0
5.0,0.09,0.000323066434669353,0.017471025774087528,0.01717103026181571,5781.0
5.5,0.09,0.00013994339191245457,0.008122235625251308,0.008056796426292279,12435.0
6.0,0.09,4.0161512455483895e-05,0.0023244039399797477,0.0023190136155947926,43452.0
6.5,0.09,1.2820099459406346e-05,0.0007908542792263723,0.0007902293229847196,127710.0
7.0,0.09,2.9901960784313724e-06,0.000188,0.00018796466264342303,500000.0
7.5,0.09,8.431372549019608e-07,5.4e-05,5.39970841574555e-05,500000.0
1.0,0.1,0.09863478101520982,0.9439252336448598,0.4855769230769231,107.0
1.5,0.1,0.07107843137254902,0.9017857142857143,0.47417840375586856,112.0
2.0,0.1,0.0548406862745098,0.7890625,0.4410480349344978,128.0
2.5,0.1,0.030971479500891266,0.6558441558441559,0.396078431372549,154.0
3.0,0.1,0.013721912122513238,0.3686131386861314,0.2693333333333333,274.0
3.5,0.1,0.007117601138816182,0.23653395784543327,0.19128787878787878,427.0
4.0,0.1,0.003256827969932857,0.1377899045020464,0.1211031175059952,733.0
4.5,0.1,0.0010676841344484178,0.04834849210148397,0.046118721461187215,2089.0
5.0,0.1,0.000391496273499491,0.02001585414189457,0.01962308140664465,5046.0
5.5,0.1,0.00013110636765910645,0.007300852970941159,0.007247936849659132,13834.0
6.0,0.1,4.6469698333988914e-05,0.0027123559900099365,0.0027050190154802077,37237.0
6.5,0.1,1.4358482214932788e-05,0.000860006301036265,0.0008592673257218697,117441.0
7.0,0.1,3.107843137254902e-06,0.000198,0.00019796080376085535,500000.0
7.5,0.1,8.627450980392156e-07,5.4e-05,5.39970841574555e-05,500000.0
1.0,0.11,0.09868059373282023,0.9439252336448598,0.4855769230769231,107.0
1.5,0.11,0.07357317927170869,0.9017857142857143,0.47417840375586856,112.0
2.0,0.11,0.05273321449792038,0.7651515151515151,0.4334763948497854,132.0
2.5,0.11,0.033249484004127965,0.6644736842105263,0.39920948616600793,152.0
3.0,0.11,0.014938457134678689,0.3686131386861314,0.2693333333333333,274.0
3.5,0.11,0.00837662033787262,0.24105011933174225,0.19423076923076923,419.0
4.0,0.11,0.0035059537469083863,0.13133940182054615,0.11609195402298851,769.0
4.5,0.11,0.0011208468207017151,0.04791271347248577,0.045722046174739704,2108.0
5.0,0.11,0.00043153577768256107,0.021019771071800208,0.02058703628210355,4805.0
5.5,0.11,0.00015734593947451842,0.00792654214409041,0.007864206182356148,12742.0
6.0,0.11,7.48315598845975e-05,0.004068151609135216,0.0040516688061617455,24827.0
6.5,0.11,1.59467529479283e-05,0.0009152281274070047,0.0009143912508148041,110355.0
7.0,0.11,5.295674329001116e-06,0.0002819433433455788,0.0002818638737026587,358228.0
7.5,0.11,1.1176470588235294e-06,6.6e-05,6.599564428747703e-05,500000.0
1.0,0.12,0.12740384615384615,0.9711538461538461,0.4926829268292683,104.0
1.5,0.12,0.10430283224400871,0.9351851851851852,0.48325358851674644,108.0
2.0,0.12,0.08233632436025258,0.8559322033898306,0.4611872146118721,118.0
2.5,0.12,0.06005809731299928,0.7481481481481481,0.4279661016949153,135.0
3.0,0.12,0.03891090114802398,0.5233160621761658,0.3435374149659864,193.0
3.5,0.12,0.022793232816592342,0.36462093862815886,0.2671957671957672,277.0
4.0,0.12,0.010509303903710847,0.18397085610200364,0.15538461538461537,549.0
4.5,0.12,0.006082062454611474,0.10390946502057613,0.09412861136999068,972.0
5.0,0.12,0.0030410982709184117,0.04972919743968488,0.0473733583489681,2031.0
5.5,0.12,0.0012914918514713017,0.021002287377833228,0.020370747606437156,4809.0
6.0,0.12,0.0006120792155158086,0.010975874809823951,0.010856712888315597,9202.0
6.5,0.12,0.0002848113322386914,0.00478650300933605,0.0047637015375907935,21101.0
7.0,0.12,0.00015880719643403545,0.0026623787431463517,0.0026553093040986406,37936.0
7.5,0.12,9.887878094521482e-05,0.001552818904417078,0.0015504113962912932,65043.0
1.0,0.13,0.20258202290817318,1.0,0.5,101.0
1.5,0.13,0.1892350999805863,1.0,0.5,101.0
2.0,0.13,0.1705788084464555,0.9711538461538461,0.4926829268292683,104.0
2.5,0.13,0.16332233828110684,0.9439252336448598,0.4855769230769231,107.0
3.0,0.13,0.13447583757912615,0.7952755905511811,0.44298245614035087,127.0
3.5,0.13,0.12821350762527234,0.7481481481481481,0.4279661016949153,135.0
4.0,0.13,0.09359325125398997,0.5872093023255814,0.36996336996337,172.0
4.5,0.13,0.07852299798424042,0.4719626168224299,0.32063492063492066,214.0
5.0,0.13,0.061255361519607844,0.39453125,0.28291316526610644,256.0
5.5,0.13,0.057405013287366226,0.36996336996337,0.2700534759358289,273.0
6.0,0.13,0.05830388692579505,0.3568904593639576,0.2630208333333333,283.0
6.5,0.13,0.053853009735362674,0.3531468531468531,0.26098191214470284,286.0
7.0,0.13,0.04520697167755991,0.28055555555555556,0.21908893709327548,360.0
7.5,0.13,0.04738082916451038,0.2961876832844575,0.22850678733031674,341.0
1.0,0.14,0.30188312948941953,1.0,0.5,101.0
1.5,0.14,0.2989225393127548,1.0,0.5,101.0
2.0,0.14,0.2915938652688798,1.0,0.5,101.0
2.5,0.14,0.2830161476355248,0.9901960784313726,0.4975369458128079,102.0
3.0,0.14,0.26663838612368024,0.9711538461538461,0.4926829268292683,104.0
3.5,0.14,0.26035367417995237,0.9439252336448598,0.4855769230769231,107.0
4.0,0.14,0.2349137931034483,0.8706896551724138,0.46543778801843316,116.0
4.5,0.14,0.22372227579556414,0.8278688524590164,0.452914798206278,122.0
5.0,0.14,0.22702965483714146,0.8347107438016529,0.45495495495495497,121.0
5.5,0.14,0.20850433196534426,0.7829457364341085,0.4391304347826087,129.0
6.0,0.14,0.20122549019607844,0.7214285714285714,0.4190871369294606,140.0
6.5,0.14,0.1672268907563025,0.5771428571428572,0.36594202898550726,175.0
7.0,0.14,0.14585645578986312,0.47641509433962265,0.3226837060702875,212.0
7.5,0.14,0.10216795051353875,0.3005952380952381,0.2311212814645309,336.0
1.0,0.15,0.37036497767423804,1.0,0.5,101.0
1.5,0.15,0.36036691904484563,1.0,0.5,101.0
2.0,0.15,0.35255290234905845,1.0,0.5,101.0
2.5,0.15,0.3493981751116288,1.0,0.5,101.0
3.0,0.15,0.3480392156862745,0.9901960784313726,0.4975369458128079,102.0
3.5,0.15,0.34475537787930705,0.9805825242718447,0.4950980392156863,103.0
4.0,0.15,0.34837235865219873,0.9805825242718447,0.4950980392156863,103.0
4.5,0.15,0.3258258258258258,0.9099099099099099,0.47641509433962265,111.0
5.0,0.15,0.3237076648841355,0.9181818181818182,0.4786729857819905,110.0
5.5,0.15,0.30232947880006705,0.8632478632478633,0.463302752293578,117.0
6.0,0.15,0.2957248473159756,0.8278688524590164,0.452914798206278,122.0
6.5,0.15,0.22986804784807005,0.6352201257861635,0.38846153846153847,159.0
7.0,0.15,0.15203828566999922,0.39920948616600793,0.2853107344632768,253.0
7.5,0.15,0.10432479443390259,0.271505376344086,0.2135306553911205,372.0
1.0,0.16,0.40870704717530576,1.0,0.5,101.0
1.5,0.16,0.4099204038050864,1.0,0.5,101.0
2.0,0.16,0.39845251826220685,0.9901960784313726,0.4975369458128079,102.0
2.5,0.16,0.39511745292176276,1.0,0.5,101.0
3.0,0.16,0.4057949912638323,1.0,0.5,101.0
3.5,0.16,0.40695981362842165,1.0,0.5,101.0
4.0,0.16,0.4024842946887493,0.9805825242718447,0.4950980392156863,103.0
4.5,0.16,0.3882447209653092,0.9711538461538461,0.4926829268292683,104.0
5.0,0.16,0.4009515570934256,0.9901960784313726,0.4975369458128079,102.0
5.5,0.16,0.37219251336898396,0.9181818181818182,0.4786729857819905,110.0
6.0,0.16,0.34126786307743434,0.8559322033898306,0.4611872146118721,118.0
6.5,0.16,0.310105580693816,0.7769230769230769,0.43722943722943725,130.0
7.0,0.16,0.27992238562091504,0.7013888888888888,0.4122448979591837,144.0
7.5,0.16,0.20819364015036065,0.5233160621761658,0.3435374149659864,193.0
1 SNR gamma BER FER DFR num_iterations
2 1.0 0.0 0.13016889924286545 1.0 0.5 101.0
3 1.5 0.0 0.11390992040380508 1.0 0.5 101.0
4 2.0 0.0 0.10430013589594253 1.0 0.5 101.0
5 2.5 0.0 0.09017666472529606 1.0 0.5 101.0
6 3.0 0.0 0.08182877111240536 1.0 0.5 101.0
7 3.5 0.0 0.06887012230634829 1.0 0.5 101.0
8 4.0 0.0 0.057173364395263056 1.0 0.5 101.0
9 4.5 0.0 0.04610755193166376 1.0 0.5 101.0
10 5.0 0.0 0.03601242477188896 1.0 0.5 101.0
11 5.5 0.0 0.03195886197616302 0.9901960784313726 0.4975369458128079 102.0
12 6.0 0.0 0.02397592700446515 1.0 0.5 101.0
13 6.5 0.0 0.017445213379469436 0.9901960784313726 0.4975369458128079 102.0
14 7.0 0.0 0.01270053475935829 0.9181818181818182 0.4786729857819905 110.0
15 7.5 0.0 0.007798573975044563 0.7651515151515151 0.4334763948497854 132.0
16 1.0 0.01 0.09410794020578528 1.0 0.5 101.0
17 1.5 0.01 0.06997308727412534 0.9901960784313726 0.4975369458128079 102.0
18 2.0 0.01 0.05644393679802018 0.9805825242718447 0.4950980392156863 103.0
19 2.5 0.01 0.03820780648708082 0.9439252336448598 0.4855769230769231 107.0
20 3.0 0.01 0.025490196078431372 0.9181818181818182 0.4786729857819905 110.0
21 3.5 0.01 0.014961954931226222 0.753731343283582 0.4297872340425532 134.0
22 4.0 0.01 0.007832183152590644 0.5642458100558659 0.3607142857142857 179.0
23 4.5 0.01 0.003332051774958349 0.3300653594771242 0.24815724815724816 306.0
24 5.0 0.01 0.0017192128650021159 0.18165467625899281 0.1537290715372907 556.0
25 5.5 0.01 0.0007640035685135623 0.09777347531461762 0.0890652557319224 1033.0
26 6.0 0.01 0.0002406292110111927 0.03541374474053296 0.03420250592617677 2852.0
27 6.5 0.01 9.533468559837728e-05 0.013931034482758621 0.01373962726159706 7250.0
28 7.0 0.01 2.8408296271432968e-05 0.004502496433666191 0.004482314827142413 22432.0
29 7.5 0.01 7.857008939650586e-06 0.001395567346487592 0.0013936224524995515 72372.0
30 1.0 0.02 0.09030180699730873 0.9901960784313726 0.4975369458128079 102.0
31 1.5 0.02 0.06522331154684095 0.9351851851851852 0.48325358851674644 108.0
32 2.0 0.02 0.049919050188882895 0.926605504587156 0.48095238095238096 109.0
33 2.5 0.02 0.028994576554025864 0.7163120567375887 0.41735537190082644 141.0
34 3.0 0.02 0.01815435476516188 0.5872093023255814 0.36996336996337 172.0
35 3.5 0.02 0.009278711484593838 0.4007936507936508 0.28611898016997167 252.0
36 4.0 0.02 0.003515158519203359 0.19842829076620824 0.16557377049180327 509.0
37 4.5 0.02 0.0013487523022509087 0.08395677472984206 0.07745398773006135 1203.0
38 5.0 0.02 0.0004013143719026072 0.027747252747252746 0.026998128842555466 3640.0
39 5.5 0.02 0.00016504731356322146 0.011449948985375808 0.011320331764178435 8821.0
40 6.0 0.02 4.437431042911285e-05 0.0030375026314998044 0.0030283041496761815 33251.0
41 6.5 0.02 1.2192094202770043e-05 0.000845811141258835 0.0008450963493511167 119412.0
42 7.0 0.02 2.764705882352941e-06 0.000196 0.0001959615915280605 500000.0
43 7.5 0.02 6.96078431372549e-07 4.8e-05 4.799769611058669e-05 500000.0
44 1.0 0.03 0.09037692747001713 0.9805825242718447 0.4950980392156863 103.0
45 1.5 0.03 0.06437619295505813 0.8938053097345132 0.4719626168224299 113.0
46 2.0 0.03 0.04964273845131273 0.8559322033898306 0.4611872146118721 118.0
47 2.5 0.03 0.026193913148081317 0.6196319018404908 0.38257575757575757 163.0
48 3.0 0.03 0.01603641456582633 0.48095238095238096 0.3247588424437299 210.0
49 3.5 0.03 0.007452113793494276 0.29190751445086704 0.22595078299776286 346.0
50 4.0 0.03 0.0028573605608046325 0.13082901554404144 0.1156930126002291 772.0
51 4.5 0.03 0.0010247036667774454 0.05706214689265537 0.053981827899518976 1770.0
52 5.0 0.03 0.0003044266400985235 0.017819336626676077 0.01750736696134512 5668.0
53 5.5 0.03 0.00012169749196725593 0.007310364794441228 0.007257311202126895 13816.0
54 6.0 0.03 3.56236823804658e-05 0.0020911406033251208 0.002086776859504132 48299.0
55 6.5 0.03 1.0374588367264038e-05 0.0006638447786307709 0.0006634043810962593 152144.0
56 7.0 0.03 2.3627450980392157e-06 0.000152 0.0001519768995112743 500000.0
57 7.5 0.03 5.196078431372548e-07 3.4e-05 3.3998844039302665e-05 500000.0
58 1.0 0.04 0.09207362190159082 0.9528301886792453 0.48792270531400966 106.0
59 1.5 0.04 0.06675191815856778 0.8782608695652174 0.4675925925925926 115.0
60 2.0 0.04 0.04750233426704015 0.8015873015873016 0.44493392070484583 126.0
61 2.5 0.04 0.026018099547511313 0.5976331360946746 0.37407407407407406 169.0
62 3.0 0.04 0.012881896944824441 0.39147286821705424 0.28133704735376047 258.0
63 3.5 0.04 0.0065840061514802 0.24754901960784315 0.19842829076620824 408.0
64 4.0 0.04 0.0026100649280614337 0.1111111111111111 0.1 909.0
65 4.5 0.04 0.0009278379283402166 0.04791271347248577 0.045722046174739704 2108.0
66 5.0 0.04 0.0002976899261728983 0.016356275303643725 0.016093052899936264 6175.0
67 5.5 0.04 0.00011358050437191844 0.006394023803494555 0.0063534000125809904 15796.0
68 6.0 0.04 4.008014206588538e-05 0.0023460546793338134 0.0023405635891731555 43051.0
69 6.5 0.04 1.0293767220940665e-05 0.0006446589052287582 0.000644243587862706 156672.0
70 7.0 0.04 2.450980392156863e-06 0.000154 0.00015397628765170164 500000.0
71 7.5 0.04 6.176470588235294e-07 4e-05 3.999840006399744e-05 500000.0
72 1.0 0.05 0.0947558268590455 0.9528301886792453 0.48792270531400966 106.0
73 1.5 0.05 0.06581415174765558 0.8782608695652174 0.4675925925925926 115.0
74 2.0 0.05 0.047244094488188976 0.7952755905511811 0.44298245614035087 127.0
75 2.5 0.05 0.02558940242763772 0.6011904761904762 0.3754646840148699 168.0
76 3.0 0.05 0.012649629140045532 0.3782771535580524 0.27445652173913043 267.0
77 3.5 0.05 0.00588833094213295 0.20528455284552846 0.1703204047217538 492.0
78 4.0 0.05 0.002538604818842757 0.10316649642492338 0.09351851851851851 979.0
79 4.5 0.05 0.0009202565784678184 0.046933085501858735 0.044829116733244564 2152.0
80 5.0 0.05 0.0002940220301384533 0.01641742522756827 0.01615224692147769 6152.0
81 5.5 0.05 0.00011692575119219662 0.006564409203171715 0.006521598760250533 15386.0
82 6.0 0.05 3.577639534879112e-05 0.002041930331763136 0.0020377693487208456 49463.0
83 6.5 0.05 1.0852103196792829e-05 0.0006775658614143013 0.0006771070767745569 149063.0
84 7.0 0.05 2.3725490196078433e-06 0.00015 0.00014997750337449384 500000.0
85 7.5 0.05 6.568627450980392e-07 4.2e-05 4.199823607408489e-05 500000.0
86 1.0 0.06 0.0957732149463559 0.9528301886792453 0.48792270531400966 106.0
87 1.5 0.06 0.06699346405228758 0.8632478632478633 0.463302752293578 117.0
88 2.0 0.06 0.05048633626679018 0.7952755905511811 0.44298245614035087 127.0
89 2.5 0.06 0.026059274284426413 0.5804597701149425 0.36727272727272725 174.0
90 3.0 0.06 0.012814863773224645 0.3782771535580524 0.27445652173913043 267.0
91 3.5 0.06 0.006304073735924525 0.22394678492239467 0.18297101449275363 451.0
92 4.0 0.06 0.0025645685668706205 0.10401647785787847 0.09421641791044776 971.0
93 4.5 0.06 0.0008676426545460951 0.04537286612758311 0.04340352385045122 2226.0
94 5.0 0.06 0.0003190777623385312 0.017672790901137356 0.01736588720770289 5715.0
95 5.5 0.06 0.00012802567341504216 0.00732733604178758 0.00727403673028448 13784.0
96 6.0 0.06 3.7053184014162366e-05 0.0021265844106623994 0.0021220716461813217 47494.0
97 6.5 0.06 1.0274078481140562e-05 0.0006473612019125999 0.00064694239650523 156018.0
98 7.0 0.06 2.46078431372549e-06 0.000156 0.00015597566779582386 500000.0
99 7.5 0.06 5.490196078431373e-07 3.6e-05 3.599870404665432e-05 500000.0
100 1.0 0.07 0.09734554199038106 0.9528301886792453 0.48792270531400966 106.0
101 1.5 0.07 0.06668356997971603 0.8706896551724138 0.46543778801843316 116.0
102 2.0 0.07 0.0509344362745098 0.7890625 0.4410480349344978 128.0
103 2.5 0.07 0.026284651791751185 0.5804597701149425 0.36727272727272725 174.0
104 3.0 0.07 0.01309025482852317 0.3782771535580524 0.27445652173913043 267.0
105 3.5 0.07 0.006422119409561578 0.22696629213483147 0.184981684981685 445.0
106 4.0 0.07 0.002640349738129247 0.11147902869757174 0.1002979145978153 906.0
107 4.5 0.07 0.0009502336090686274 0.04931640625 0.04699860400186133 2048.0
108 5.0 0.07 0.0003310118602339736 0.018090632276553824 0.01776917663617171 5583.0
109 5.5 0.07 0.00011619651767974708 0.0065772336545975515 0.006534256323995601 15356.0
110 6.0 0.07 3.877701447136334e-05 0.002250596073712592 0.002245542265107386 44877.0
111 6.5 0.07 1.1830786200915143e-05 0.0007386712693444109 0.0007381260368478364 136732.0
112 7.0 0.07 2.7549019607843135e-06 0.000172 0.00017197042108757293 500000.0
113 7.5 0.07 4.901960784313725e-07 3.2e-05 3.199897603276695e-05 500000.0
114 1.0 0.08 0.09487813817115631 0.9439252336448598 0.4855769230769231 107.0
115 1.5 0.08 0.06786680189317106 0.8706896551724138 0.46543778801843316 116.0
116 2.0 0.08 0.05188536953242836 0.7769230769230769 0.43722943722943725 130.0
117 2.5 0.08 0.027359781121751026 0.5872093023255814 0.36996336996337 172.0
118 3.0 0.08 0.01338979171435111 0.39299610894941633 0.28212290502793297 257.0
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@phdthesis{feldman_thesis,
author = {Feldman, Jon},
title = {Decoding error-correcting codes via linear programming},
type = {phdthesis},
institution = {MIT},
year = {2003},
url = {https://dspace.mit.edu/handle/1721.1/42831},
}
@article{proximal_paper,
title={Proximal Decoding for LDPC Codes},
author={Tadashi Wadayama and Satoshi Takabe},
journal={IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences},
volume={advpub},
number={ },
pages={2022TAP0002},
year={2022},
doi={10.1587/transfun.2022TAP0002}
}
@article{ml_np_hard_proof,
title = {On the inherent intractability of certain coding problems (Corresp.)},
volume = {24},
DOI = {10.1109/tit.1978.1055873},
number = {3},
journal = {IEEE Transactions on Information Theory},
author = {Berlekamp, E. and McEliece, R. and van Tilborg, H.},
year = {1978},
month = {5},
pages = {384386},
% url = {https://authors.library.caltech.edu/5607/1/BERieeetit78.pdf}
}
@article{ldpc_conv,
author = {Banu Kabakulak and Z. Caner Taşkın and Ali Emre Pusane},
title = {Optimizationbased decoding algorithms for LDPC convolutional codes in communication systems},
journal = {IISE Transactions},
volume = {51},
number = {10},
pages = {1061-1074},
year = {2019},
publisher = {Taylor \& Francis},
doi = {10.1080/24725854.2018.1550692},
URL = {https://doi.org/10.1080/24725854.2018.1550692},
% eprint = {https://doi.org/10.1080/24725854.2018.1550692}
}
@online{mackay_enc,
author = {MacKay, David J.C.},
title = {Encyclopedia of Sparse Graph Codes},
date = {2023-01},
url = {http://www.inference.org.uk/mackay/codes/data.html}
}
@article{proximal_algorithms,
author = {Parikh, Neal and Boyd, Stephen},
title = {Proximal Algorithms},
year = {2014},
issue_date = {January 2014},
publisher = {Now Publishers Inc.},
address = {Hanover, MA, USA},
volume = {1},
number = {3},
issn = {2167-3888},
url = {https://doi.org/10.1561/2400000003},
doi = {10.1561/2400000003},
journal = {Found. Trends Optim.},
month = {1},
pages = {127239},
numpages = {113}
}
@mastersthesis{yanxia_lu_thesis,
author = {Lu, Yanxia},
title = {Realization of Channel Decoding Using Optimization Techniques},
year = {2023},
type = {Bachelor's Thesis},
institution = {KIT},
}
@book{distr_opt_book,
author = {Boyd, Stephen and Parikh, Neal and Chu, Eric and Peleato, Borja and Eckstein, Jonathan},
title = {Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers},
year = {2011},
volume = {},
number = {},
pages = {},
doi = {},
url = {https://ieeexplore.ieee.org/document/8186925},
}
@INPROCEEDINGS{efficient_lp_dec_admm,
author = {Zhang, Xiaojie and Siegel, Paul H.},
booktitle = {2013 IEEE International Symposium on Information Theory},
title = {Efficient iterative LP decoding of LDPC codes with alternating direction method of multipliers},
year = {2013},
volume = {},
number = {},
pages = {1501-1505},
doi = {10.1109/ISIT.2013.6620477}
}
@ARTICLE{feldman_paper,
author={Feldman, J. and Wainwright, M.J. and Karger, D.R.},
journal={IEEE Transactions on Information Theory},
title={Using linear programming to Decode Binary linear codes},
year={2005},
volume={51},
number={3},
pages={954-972},
doi={10.1109/TIT.2004.842696}
}
@ARTICLE{lautern,
author={Gensheimer, Florian and Dietz, Tobias and Kraft, Kira and Ruzika, Stefan and Wehn, Norbert},
journal={IEEE Transactions on Information Theory},
title={A Reduced-Complexity Projection Algorithm for ADMM-Based LP Decoding},
year={2020},
volume={66},
number={8},
pages={4819-4833},
doi={10.1109/TIT.2020.2984247}
}

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},
discard if gt/.style 2 args={
x filter/.append code={
\edef\tempa{\thisrow{#1}}
\edef\tempb{#2}
\ifdim\tempa pt > \tempb pt
\def\pgfmathresult{inf}
\fi
}
}
}
\DeclareCaptionLabelFormat{algocaption}{Algorithm} % defines a new caption label as Algorithm x.y
\lstnewenvironment{algorithm}[1][] %defines the algorithm listing environment
{
\captionsetup{labelformat=algocaption,labelsep=colon} % defines the caption setup for:
% it ises label format as the declared
% caption label above and makes label
% and caption text to be separated
% by a ':'
\lstset{ %this is the stype
mathescape=true,
frame=tB,
numbers=left,
numberstyle=\tiny,
basicstyle=\normalfont,
columns=fullflexible,
keywordstyle=\color{black}\bfseries,
keywords={a, for, end, do, return, if, b} % add the keywords you want, or load
% a language as Rubens explains in his comment above.
numbers=left,
xleftmargin=.04\textwidth,
#1 % this is to add specific settings to an usage of this
% environment (for instnce, the caption and referable label)
}
}
{}
\setbeamertemplate{frametitle continuation}{}
\begin{document}
\newboolean{EnglishLanguage}
\setboolean{EnglishLanguage}{True}
\begin{frame}[plain]
\maketitle
\end{frame}
\begin{frame}[t]
\frametitle{Overview}
\tableofcontents
\end{frame}
\setnextsection{0}
\input{sections/theoretical_background.tex}
\input{sections/decoding_algorithms.tex}
\input{sections/examination_results.tex}
\input{sections/forthcoming_examination.tex}
\input{sections/question_slide.tex}
\begin{frame}[allowframebreaks]
\frametitle{Bibliography}
\printbibliography[heading=none]
\end{frame}
\input{sections/appendix.tex}
\end{document}

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@@ -0,0 +1,11 @@
SNR,gamma_0_15,gamma_0_05,gamma_0_01,BP
1,0.3669767287,0.0983527875,0.09440942764,0.06443019397
1.5,0.3669767287,0.07297050292,0.07602178383,0.03398665526
2,0.3669767287,0.04854153852,0.05563899358,0.01257341759
2.5,0.3669767287,0.03099619799,0.03962553082,0.003089064275
3,0.3669767287,0.01635036356,0.02635975022,0.001038700586
3.5,0.3669767287,0.007422688173,0.01572148666,0.0001272453028
4,0.3669767287,0.002980400475,0.008639663866,0
4.5,0.3669767287,0.001044021313,0.004434697304,0
5,0.3669767287,0.0003969287889,0.002126155473,0
5.5,0.3908851459,0.00008863357225,0.0007759378638,0
1 SNR gamma_0_15 gamma_0_05 gamma_0_01 BP
2 1 0.3669767287 0.0983527875 0.09440942764 0.06443019397
3 1.5 0.3669767287 0.07297050292 0.07602178383 0.03398665526
4 2 0.3669767287 0.04854153852 0.05563899358 0.01257341759
5 2.5 0.3669767287 0.03099619799 0.03962553082 0.003089064275
6 3 0.3669767287 0.01635036356 0.02635975022 0.001038700586
7 3.5 0.3669767287 0.007422688173 0.01572148666 0.0001272453028
8 4 0.3669767287 0.002980400475 0.008639663866 0
9 4.5 0.3669767287 0.001044021313 0.004434697304 0
10 5 0.3669767287 0.0003969287889 0.002126155473 0
11 5.5 0.3908851459 0.00008863357225 0.0007759378638 0

Binary file not shown.

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@@ -0,0 +1,43 @@
SNR,gamma,BER,FER,DFR,num_iterations
1.0,0.01,0.08857503397398564,1.0,0.5,101.0
1.5,0.01,0.07048353321911288,0.9805825242718447,0.4950980392156863,103.0
2.0,0.01,0.05350140056022409,0.9619047619047619,0.49029126213592233,105.0
2.5,0.01,0.03744921391980215,0.9099099099099099,0.47641509433962265,111.0
3.0,0.01,0.025939542483660132,0.8416666666666667,0.45701357466063347,120.0
3.5,0.01,0.014778503994190268,0.7481481481481481,0.4279661016949153,135.0
4.0,0.01,0.00835057641146911,0.507537688442211,0.33666666666666667,199.0
4.5,0.01,0.004282382097820541,0.3754646840148699,0.27297297297297296,269.0
5.0,0.01,0.0015746260263187492,0.1931166347992352,0.16185897435897437,523.0
5.5,0.01,0.00065359477124183,0.08523206751054853,0.07853810264385692,1185.0
6.0,0.01,0.0003127631420666426,0.04130879345603272,0.0396700706991359,2445.0
6.5,0.01,0.00011029974518507847,0.015459972447573855,0.015224600542659028,6533.0
7.0,0.01,2.7036508518478465e-05,0.00452894489036366,0.004508526024462101,22301.0
7.5,0.01,8.101366552599426e-06,0.0014514830995631179,0.001449379349931836,69584.0
1.0,0.05,0.0871559633027523,0.926605504587156,0.48095238095238096,109.0
1.5,0.05,0.06592721834496511,0.8559322033898306,0.4611872146118721,118.0
2.0,0.05,0.04344614558152028,0.6917808219178082,0.4089068825910931,146.0
2.5,0.05,0.023415412676698586,0.4697674418604651,0.31962025316455694,215.0
3.0,0.05,0.010770665574814613,0.23433874709976799,0.18984962406015038,431.0
3.5,0.05,0.0049633888643176565,0.12656641604010024,0.11234705228031146,798.0
4.0,0.05,0.00151358011559054,0.045660036166365284,0.043666234327712924,2212.0
4.5,0.05,0.0003522100063308634,0.011482492041837199,0.011352141171181298,8796.0
5.0,0.05,8.711464887548632e-05,0.0030893463432539077,0.003079831676526194,32693.0
5.5,0.05,1.669054519578649e-05,0.0005991149707560712,0.000598756246924705,168582.0
6.0,0.05,3.872549019607843e-06,0.00014,0.00013998040274361588,500000.0
6.5,0.05,8.137254901960785e-07,3.4e-05,3.3998844039302665e-05,500000.0
7.0,0.05,9.80392156862745e-08,4e-06,3.9999840000639995e-06,500000.0
7.5,0.05,0.0,0.0,0.0,500000.0
1.0,0.15,0.36318190642593673,1.0,0.5,101.0
1.5,0.15,0.35721219180741604,1.0,0.5,101.0
2.0,0.15,0.3584740827023879,1.0,0.5,101.0
2.5,0.15,0.3616288099398175,1.0,0.5,101.0
3.0,0.15,0.34989529792499524,0.9805825242718447,0.4950980392156863,103.0
3.5,0.15,0.34784884827717494,0.9805825242718447,0.4950980392156863,103.0
4.0,0.15,0.3346744358120607,0.9528301886792453,0.48792270531400966,106.0
4.5,0.15,0.32926378098409176,0.9528301886792453,0.48792270531400966,106.0
5.0,0.15,0.3075335397316821,0.8859649122807017,0.4697674418604651,114.0
5.5,0.15,0.31763845889232883,0.8859649122807017,0.4697674418604651,114.0
6.0,0.15,0.2609212802768166,0.7426470588235294,0.42616033755274263,136.0
6.5,0.15,0.21796218487394958,0.6011904761904762,0.3754646840148699,168.0
7.0,0.15,0.16116533949824471,0.4410480349344978,0.30606060606060603,229.0
7.5,0.15,0.11419180852856903,0.28939828080229224,0.22444444444444445,349.0
1 SNR gamma BER FER DFR num_iterations
2 1.0 0.01 0.08857503397398564 1.0 0.5 101.0
3 1.5 0.01 0.07048353321911288 0.9805825242718447 0.4950980392156863 103.0
4 2.0 0.01 0.05350140056022409 0.9619047619047619 0.49029126213592233 105.0
5 2.5 0.01 0.03744921391980215 0.9099099099099099 0.47641509433962265 111.0
6 3.0 0.01 0.025939542483660132 0.8416666666666667 0.45701357466063347 120.0
7 3.5 0.01 0.014778503994190268 0.7481481481481481 0.4279661016949153 135.0
8 4.0 0.01 0.00835057641146911 0.507537688442211 0.33666666666666667 199.0
9 4.5 0.01 0.004282382097820541 0.3754646840148699 0.27297297297297296 269.0
10 5.0 0.01 0.0015746260263187492 0.1931166347992352 0.16185897435897437 523.0
11 5.5 0.01 0.00065359477124183 0.08523206751054853 0.07853810264385692 1185.0
12 6.0 0.01 0.0003127631420666426 0.04130879345603272 0.0396700706991359 2445.0
13 6.5 0.01 0.00011029974518507847 0.015459972447573855 0.015224600542659028 6533.0
14 7.0 0.01 2.7036508518478465e-05 0.00452894489036366 0.004508526024462101 22301.0
15 7.5 0.01 8.101366552599426e-06 0.0014514830995631179 0.001449379349931836 69584.0
16 1.0 0.05 0.0871559633027523 0.926605504587156 0.48095238095238096 109.0
17 1.5 0.05 0.06592721834496511 0.8559322033898306 0.4611872146118721 118.0
18 2.0 0.05 0.04344614558152028 0.6917808219178082 0.4089068825910931 146.0
19 2.5 0.05 0.023415412676698586 0.4697674418604651 0.31962025316455694 215.0
20 3.0 0.05 0.010770665574814613 0.23433874709976799 0.18984962406015038 431.0
21 3.5 0.05 0.0049633888643176565 0.12656641604010024 0.11234705228031146 798.0
22 4.0 0.05 0.00151358011559054 0.045660036166365284 0.043666234327712924 2212.0
23 4.5 0.05 0.0003522100063308634 0.011482492041837199 0.011352141171181298 8796.0
24 5.0 0.05 8.711464887548632e-05 0.0030893463432539077 0.003079831676526194 32693.0
25 5.5 0.05 1.669054519578649e-05 0.0005991149707560712 0.000598756246924705 168582.0
26 6.0 0.05 3.872549019607843e-06 0.00014 0.00013998040274361588 500000.0
27 6.5 0.05 8.137254901960785e-07 3.4e-05 3.3998844039302665e-05 500000.0
28 7.0 0.05 9.80392156862745e-08 4e-06 3.9999840000639995e-06 500000.0
29 7.5 0.05 0.0 0.0 0.0 500000.0
30 1.0 0.15 0.36318190642593673 1.0 0.5 101.0
31 1.5 0.15 0.35721219180741604 1.0 0.5 101.0
32 2.0 0.15 0.3584740827023879 1.0 0.5 101.0
33 2.5 0.15 0.3616288099398175 1.0 0.5 101.0
34 3.0 0.15 0.34989529792499524 0.9805825242718447 0.4950980392156863 103.0
35 3.5 0.15 0.34784884827717494 0.9805825242718447 0.4950980392156863 103.0
36 4.0 0.15 0.3346744358120607 0.9528301886792453 0.48792270531400966 106.0
37 4.5 0.15 0.32926378098409176 0.9528301886792453 0.48792270531400966 106.0
38 5.0 0.15 0.3075335397316821 0.8859649122807017 0.4697674418604651 114.0
39 5.5 0.15 0.31763845889232883 0.8859649122807017 0.4697674418604651 114.0
40 6.0 0.15 0.2609212802768166 0.7426470588235294 0.42616033755274263 136.0
41 6.5 0.15 0.21796218487394958 0.6011904761904762 0.3754646840148699 168.0
42 7.0 0.15 0.16116533949824471 0.4410480349344978 0.30606060606060603 229.0
43 7.5 0.15 0.11419180852856903 0.28939828080229224 0.22444444444444445 349.0

View File

@@ -0,0 +1,9 @@
{
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"name": "2d_BER_FER_DFR_20433484",
"platform": "Linux-6.1.6-arch1-1-x86_64-with-glibc2.36",
"omega": 0.05,
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"end_time": "2023-01-17 18:33:23.676873"
}

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@@ -0,0 +1,31 @@
SNR,gamma,BER,FER,DFR,num_iterations
1.0,0.01,0.1282760629004077,1.0,0.5,101.0
1.5,0.01,0.10891089108910891,1.0,0.5,101.0
2.0,0.01,0.0815592903828198,0.9619047619047619,0.49029126213592233,105.0
2.5,0.01,0.05990286022665947,0.926605504587156,0.48095238095238096,109.0
3.0,0.01,0.03941495297305914,0.8211382113821138,0.45089285714285715,123.0
3.5,0.01,0.02159746251441753,0.5941176470588235,0.3726937269372694,170.0
4.0,0.01,0.008099504169483886,0.29022988505747127,0.22494432071269488,348.0
4.5,0.01,0.003413511153449234,0.13630229419703105,0.11995249406175772,741.0
5.0,0.01,0.0007971804984475959,0.048026628625772706,0.04582577132486389,2103.0
5.5,0.01,0.00014528144415937685,0.010614818707304257,0.01050332778702163,9515.0
1.0,0.05,0.13312948941953018,1.0,0.5,101.0
1.5,0.05,0.11264991433466591,0.9805825242718447,0.4950980392156863,103.0
2.0,0.05,0.08948390677025528,0.9528301886792453,0.48792270531400966,106.0
2.5,0.05,0.06017854296190021,0.8211382113821138,0.45089285714285715,123.0
3.0,0.05,0.03815004262574595,0.6273291925465838,0.38549618320610685,161.0
3.5,0.05,0.01944624003447533,0.36996336996337,0.2700534759358289,273.0
4.0,0.05,0.007252326217843459,0.16584564860426929,0.14225352112676057,609.0
4.5,0.05,0.0021536038238009884,0.05595567867036011,0.05299055613850997,1805.0
5.0,0.05,0.0004567736185383244,0.012752525252525253,0.01259194614137888,7920.0
5.5,0.05,5.7238650812895664e-05,0.0018341293333575463,0.0018307714617169374,55067.0
1.0,0.15,0.4978644923315861,1.0,0.5,101.0
1.5,0.15,0.5006309454474859,1.0,0.5,101.0
2.0,0.15,0.5033973985633857,1.0,0.5,101.0
2.5,0.15,0.47709182682974177,1.0,0.5,101.0
3.0,0.15,0.47005435837701415,1.0,0.5,101.0
3.5,0.15,0.4798097456804504,1.0,0.5,101.0
4.0,0.15,0.4680159192389827,1.0,0.5,101.0
4.5,0.15,0.451465734808775,1.0,0.5,101.0
5.0,0.15,0.40695981362842165,1.0,0.5,101.0
5.5,0.15,0.33649132730015086,0.9711538461538461,0.4926829268292683,104.0
1 SNR gamma BER FER DFR num_iterations
2 1.0 0.01 0.1282760629004077 1.0 0.5 101.0
3 1.5 0.01 0.10891089108910891 1.0 0.5 101.0
4 2.0 0.01 0.0815592903828198 0.9619047619047619 0.49029126213592233 105.0
5 2.5 0.01 0.05990286022665947 0.926605504587156 0.48095238095238096 109.0
6 3.0 0.01 0.03941495297305914 0.8211382113821138 0.45089285714285715 123.0
7 3.5 0.01 0.02159746251441753 0.5941176470588235 0.3726937269372694 170.0
8 4.0 0.01 0.008099504169483886 0.29022988505747127 0.22494432071269488 348.0
9 4.5 0.01 0.003413511153449234 0.13630229419703105 0.11995249406175772 741.0
10 5.0 0.01 0.0007971804984475959 0.048026628625772706 0.04582577132486389 2103.0
11 5.5 0.01 0.00014528144415937685 0.010614818707304257 0.01050332778702163 9515.0
12 1.0 0.05 0.13312948941953018 1.0 0.5 101.0
13 1.5 0.05 0.11264991433466591 0.9805825242718447 0.4950980392156863 103.0
14 2.0 0.05 0.08948390677025528 0.9528301886792453 0.48792270531400966 106.0
15 2.5 0.05 0.06017854296190021 0.8211382113821138 0.45089285714285715 123.0
16 3.0 0.05 0.03815004262574595 0.6273291925465838 0.38549618320610685 161.0
17 3.5 0.05 0.01944624003447533 0.36996336996337 0.2700534759358289 273.0
18 4.0 0.05 0.007252326217843459 0.16584564860426929 0.14225352112676057 609.0
19 4.5 0.05 0.0021536038238009884 0.05595567867036011 0.05299055613850997 1805.0
20 5.0 0.05 0.0004567736185383244 0.012752525252525253 0.01259194614137888 7920.0
21 5.5 0.05 5.7238650812895664e-05 0.0018341293333575463 0.0018307714617169374 55067.0
22 1.0 0.15 0.4978644923315861 1.0 0.5 101.0
23 1.5 0.15 0.5006309454474859 1.0 0.5 101.0
24 2.0 0.15 0.5033973985633857 1.0 0.5 101.0
25 2.5 0.15 0.47709182682974177 1.0 0.5 101.0
26 3.0 0.15 0.47005435837701415 1.0 0.5 101.0
27 3.5 0.15 0.4798097456804504 1.0 0.5 101.0
28 4.0 0.15 0.4680159192389827 1.0 0.5 101.0
29 4.5 0.15 0.451465734808775 1.0 0.5 101.0
30 5.0 0.15 0.40695981362842165 1.0 0.5 101.0
31 5.5 0.15 0.33649132730015086 0.9711538461538461 0.4926829268292683 104.0

View File

@@ -0,0 +1,9 @@
{
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}

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@@ -0,0 +1,31 @@
SNR,gamma,BER,FER,DFR,num_iterations
1.0,0.01,0.0918025626092021,1.0,0.5,101.0
1.5,0.01,0.07178217821782178,1.0,0.5,101.0
2.0,0.01,0.05319355464958261,1.0,0.5,101.0
2.5,0.01,0.037701845444059974,0.9901960784313726,0.4975369458128079,102.0
3.0,0.01,0.024914334665905195,0.9805825242718447,0.4950980392156863,103.0
3.5,0.01,0.014256161180068358,0.926605504587156,0.48095238095238096,109.0
4.0,0.01,0.00819607843137255,0.808,0.4469026548672566,125.0
4.5,0.01,0.003703703703703704,0.5611111111111111,0.3594306049822064,180.0
5.0,0.01,0.0017734056079769791,0.3447098976109215,0.2563451776649746,293.0
5.5,0.01,0.0007903353279891611,0.19385796545105566,0.16237942122186494,521.0
1.0,0.05,0.08972510572856593,0.9901960784313726,0.4975369458128079,102.0
1.5,0.05,0.06624649859943978,0.9619047619047619,0.49029126213592233,105.0
2.0,0.05,0.04635172653132049,0.8938053097345132,0.4719626168224299,113.0
2.5,0.05,0.024525719378660556,0.6558441558441559,0.396078431372549,154.0
3.0,0.05,0.010826771653543307,0.39763779527559057,0.28450704225352114,254.0
3.5,0.05,0.004023473188558577,0.18100358422939067,0.15326251896813353,558.0
4.0,0.05,0.0010486080573690086,0.05807935595169638,0.05489130434782609,1739.0
4.5,0.05,0.00020709882532053673,0.012814006597310327,0.01265188525616936,7882.0
5.0,0.05,3.131208430508767e-05,0.002224669603524229,0.0022197314344739676,45400.0
5.5,0.05,6.4252223396991424e-06,0.00046369625599706175,0.00046348134143431416,217815.0
1.0,0.15,0.3438895360124248,1.0,0.5,101.0
1.5,0.15,0.34032226752086975,1.0,0.5,101.0
2.0,0.15,0.33034847602407297,1.0,0.5,101.0
2.5,0.15,0.32974179770918266,1.0,0.5,101.0
3.0,0.15,0.3295476606484178,1.0,0.5,101.0
3.5,0.15,0.32175791108522617,1.0,0.5,101.0
4.0,0.15,0.3154241894777713,1.0,0.5,101.0
4.5,0.15,0.32195204814599104,1.0,0.5,101.0
5.0,0.15,0.3212483013007183,1.0,0.5,101.0
5.5,0.15,0.31752210688196847,0.9901960784313726,0.4975369458128079,102.0
1 SNR gamma BER FER DFR num_iterations
2 1.0 0.01 0.0918025626092021 1.0 0.5 101.0
3 1.5 0.01 0.07178217821782178 1.0 0.5 101.0
4 2.0 0.01 0.05319355464958261 1.0 0.5 101.0
5 2.5 0.01 0.037701845444059974 0.9901960784313726 0.4975369458128079 102.0
6 3.0 0.01 0.024914334665905195 0.9805825242718447 0.4950980392156863 103.0
7 3.5 0.01 0.014256161180068358 0.926605504587156 0.48095238095238096 109.0
8 4.0 0.01 0.00819607843137255 0.808 0.4469026548672566 125.0
9 4.5 0.01 0.003703703703703704 0.5611111111111111 0.3594306049822064 180.0
10 5.0 0.01 0.0017734056079769791 0.3447098976109215 0.2563451776649746 293.0
11 5.5 0.01 0.0007903353279891611 0.19385796545105566 0.16237942122186494 521.0
12 1.0 0.05 0.08972510572856593 0.9901960784313726 0.4975369458128079 102.0
13 1.5 0.05 0.06624649859943978 0.9619047619047619 0.49029126213592233 105.0
14 2.0 0.05 0.04635172653132049 0.8938053097345132 0.4719626168224299 113.0
15 2.5 0.05 0.024525719378660556 0.6558441558441559 0.396078431372549 154.0
16 3.0 0.05 0.010826771653543307 0.39763779527559057 0.28450704225352114 254.0
17 3.5 0.05 0.004023473188558577 0.18100358422939067 0.15326251896813353 558.0
18 4.0 0.05 0.0010486080573690086 0.05807935595169638 0.05489130434782609 1739.0
19 4.5 0.05 0.00020709882532053673 0.012814006597310327 0.01265188525616936 7882.0
20 5.0 0.05 3.131208430508767e-05 0.002224669603524229 0.0022197314344739676 45400.0
21 5.5 0.05 6.4252223396991424e-06 0.00046369625599706175 0.00046348134143431416 217815.0
22 1.0 0.15 0.3438895360124248 1.0 0.5 101.0
23 1.5 0.15 0.34032226752086975 1.0 0.5 101.0
24 2.0 0.15 0.33034847602407297 1.0 0.5 101.0
25 2.5 0.15 0.32974179770918266 1.0 0.5 101.0
26 3.0 0.15 0.3295476606484178 1.0 0.5 101.0
27 3.5 0.15 0.32175791108522617 1.0 0.5 101.0
28 4.0 0.15 0.3154241894777713 1.0 0.5 101.0
29 4.5 0.15 0.32195204814599104 1.0 0.5 101.0
30 5.0 0.15 0.3212483013007183 1.0 0.5 101.0
31 5.5 0.15 0.31752210688196847 0.9901960784313726 0.4975369458128079 102.0

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@@ -0,0 +1,9 @@
{
"duration": 871.6730747620168,
"name": "2d_BER_FER_DFR_40833844",
"platform": "Linux-6.1.6-arch1-3-x86_64-with-glibc2.36",
"omega": 0.05,
"K": 200,
"min_var_k": 150,
"end_time": "2023-01-24 09:12:00.353386"
}

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@@ -0,0 +1,31 @@
SNR,gamma,BER,FER,DFR,num_iterations
1.0,0.01,0.0943452380952381,0.9619047619047619,0.49029126213592233,105.0
1.5,0.01,0.07425458715596331,0.926605504587156,0.48095238095238096,109.0
2.0,0.01,0.05845385674931129,0.8347107438016529,0.45248868778280543,121.0
2.5,0.01,0.04104938271604938,0.7481481481481481,0.425531914893617,135.0
3.0,0.01,0.02481785063752277,0.5519125683060109,0.35563380281690143,183.0
3.5,0.01,0.01668552036199095,0.45701357466063347,0.3136645962732919,221.0
4.0,0.01,0.009225217864923748,0.3300653594771242,0.24815724815724816,306.0
4.5,0.01,0.0038886542792792795,0.17060810810810811,0.14574314574314573,592.0
5.0,0.01,0.0018921095008051529,0.09758454106280193,0.08890845070422536,1035.0
5.5,0.01,0.0008550995024875622,0.04710820895522388,0.04498886414253898,2144.0
1.0,0.05,0.09079861111111111,0.8416666666666667,0.45701357466063347,120.0
1.5,0.05,0.06677704194260485,0.6688741721854304,0.396,151.0
2.0,0.05,0.050011510128913444,0.5580110497237569,0.3489208633093525,181.0
2.5,0.05,0.03151611922141119,0.3686131386861314,0.26541554959785524,274.0
3.0,0.05,0.01758841234010534,0.22799097065462753,0.18265682656826568,443.0
3.5,0.05,0.006907068532472192,0.10871905274488698,0.09365853658536585,929.0
4.0,0.05,0.003318484521238301,0.05453563714902808,0.04879301489470981,1852.0
4.5,0.05,0.0010753547719105914,0.018454229855655035,0.01794365691727974,5473.0
5.0,0.05,0.0003437132188806364,0.006148788506027031,0.005629880743386404,16426.0
5.5,0.05,9.290550348976298e-05,0.0017593979723373864,0.0016521451800838246,57406.0
1.0,0.15,0.399236798679868,1.0,0.5,101.0
1.5,0.15,0.38721955128205127,0.9711538461538461,0.4926829268292683,104.0
2.0,0.15,0.3641141141141141,0.9099099099099099,0.47393364928909953,111.0
2.5,0.15,0.34692028985507245,0.8782608695652174,0.4675925925925926,115.0
3.0,0.15,0.31012139107611547,0.7952755905511811,0.44052863436123346,127.0
3.5,0.15,0.2872767857142857,0.7214285714285714,0.41422594142259417,140.0
4.0,0.15,0.23815104166666667,0.63125,0.3798449612403101,160.0
4.5,0.15,0.2106729055258467,0.5401069518716578,0.34843205574912894,187.0
5.0,0.15,0.19948186528497408,0.5233160621761658,0.3412969283276451,193.0
5.5,0.15,0.17773729446935724,0.452914798206278,0.3117283950617284,223.0
1 SNR gamma BER FER DFR num_iterations
2 1.0 0.01 0.0943452380952381 0.9619047619047619 0.49029126213592233 105.0
3 1.5 0.01 0.07425458715596331 0.926605504587156 0.48095238095238096 109.0
4 2.0 0.01 0.05845385674931129 0.8347107438016529 0.45248868778280543 121.0
5 2.5 0.01 0.04104938271604938 0.7481481481481481 0.425531914893617 135.0
6 3.0 0.01 0.02481785063752277 0.5519125683060109 0.35563380281690143 183.0
7 3.5 0.01 0.01668552036199095 0.45701357466063347 0.3136645962732919 221.0
8 4.0 0.01 0.009225217864923748 0.3300653594771242 0.24815724815724816 306.0
9 4.5 0.01 0.0038886542792792795 0.17060810810810811 0.14574314574314573 592.0
10 5.0 0.01 0.0018921095008051529 0.09758454106280193 0.08890845070422536 1035.0
11 5.5 0.01 0.0008550995024875622 0.04710820895522388 0.04498886414253898 2144.0
12 1.0 0.05 0.09079861111111111 0.8416666666666667 0.45701357466063347 120.0
13 1.5 0.05 0.06677704194260485 0.6688741721854304 0.396 151.0
14 2.0 0.05 0.050011510128913444 0.5580110497237569 0.3489208633093525 181.0
15 2.5 0.05 0.03151611922141119 0.3686131386861314 0.26541554959785524 274.0
16 3.0 0.05 0.01758841234010534 0.22799097065462753 0.18265682656826568 443.0
17 3.5 0.05 0.006907068532472192 0.10871905274488698 0.09365853658536585 929.0
18 4.0 0.05 0.003318484521238301 0.05453563714902808 0.04879301489470981 1852.0
19 4.5 0.05 0.0010753547719105914 0.018454229855655035 0.01794365691727974 5473.0
20 5.0 0.05 0.0003437132188806364 0.006148788506027031 0.005629880743386404 16426.0
21 5.5 0.05 9.290550348976298e-05 0.0017593979723373864 0.0016521451800838246 57406.0
22 1.0 0.15 0.399236798679868 1.0 0.5 101.0
23 1.5 0.15 0.38721955128205127 0.9711538461538461 0.4926829268292683 104.0
24 2.0 0.15 0.3641141141141141 0.9099099099099099 0.47393364928909953 111.0
25 2.5 0.15 0.34692028985507245 0.8782608695652174 0.4675925925925926 115.0
26 3.0 0.15 0.31012139107611547 0.7952755905511811 0.44052863436123346 127.0
27 3.5 0.15 0.2872767857142857 0.7214285714285714 0.41422594142259417 140.0
28 4.0 0.15 0.23815104166666667 0.63125 0.3798449612403101 160.0
29 4.5 0.15 0.2106729055258467 0.5401069518716578 0.34843205574912894 187.0
30 5.0 0.15 0.19948186528497408 0.5233160621761658 0.3412969283276451 193.0
31 5.5 0.15 0.17773729446935724 0.452914798206278 0.3117283950617284 223.0

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@@ -0,0 +1,9 @@
{
"duration": 12.159791988000507,
"name": "2d_BER_FER_DFR_963965",
"platform": "Linux-6.1.6-arch1-3-x86_64-with-glibc2.36",
"omega": 0.05,
"K": 200,
"min_var_k": 150,
"end_time": "2023-01-24 09:16:22.859899"
}

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@@ -0,0 +1,31 @@
SNR,gamma,BER,FER,DFR,num_iterations
1.0,0.01,0.14838709677419354,0.8782608695652174,0.46261682242990654,115.0
1.5,0.01,0.13515016685205783,0.8706896551724138,0.46296296296296297,116.0
2.0,0.01,0.1074401664932362,0.8145161290322581,0.4488888888888889,124.0
2.5,0.01,0.08372865275142315,0.7426470588235294,0.423728813559322,136.0
3.0,0.01,0.06555671175858481,0.6516129032258065,0.39453125,155.0
3.5,0.01,0.04821366631980576,0.543010752688172,0.3519163763066202,186.0
4.0,0.01,0.03350354963258189,0.38996138996138996,0.28055555555555556,259.0
4.5,0.01,0.026089594498938214,0.3166144200626959,0.24047619047619048,319.0
5.0,0.01,0.018746833305184934,0.2643979057591623,0.2074688796680498,382.0
5.5,0.01,0.010534359478194422,0.17089678510998307,0.14595375722543352,591.0
1.0,0.05,0.1447132616487455,0.7013888888888888,0.4024896265560166,144.0
1.5,0.05,0.12072628935677034,0.6047904191616766,0.36981132075471695,167.0
2.0,0.05,0.09547738693467336,0.507537688442211,0.32996632996632996,199.0
2.5,0.05,0.06649586584371725,0.36462093862815886,0.2553763440860215,277.0
3.0,0.05,0.05501152073732719,0.3005952380952381,0.21495327102803738,336.0
3.5,0.05,0.037402669632925475,0.21767241379310345,0.17142857142857143,464.0
4.0,0.05,0.026206388464979215,0.16476345840130505,0.13904494382022473,613.0
4.5,0.05,0.017434803398683193,0.11516533637400228,0.10051282051282051,877.0
5.0,0.05,0.009589656870090116,0.06702057067020571,0.06164383561643835,1507.0
5.5,0.05,0.004745740724725417,0.033847184986595176,0.03148328464784161,2984.0
1.0,0.15,0.49738863287250384,0.9619047619047619,0.49029126213592233,105.0
1.5,0.15,0.4353358981947322,0.926605504587156,0.48095238095238096,109.0
2.0,0.15,0.41557686718977044,0.9099099099099099,0.47393364928909953,111.0
2.5,0.15,0.43534833288153973,0.8487394957983193,0.45161290322580644,119.0
3.0,0.15,0.43812797461660496,0.8278688524590164,0.45045045045045046,122.0
3.5,0.15,0.3939753320683112,0.7426470588235294,0.42127659574468085,136.0
4.0,0.15,0.35328142380422695,0.696551724137931,0.40816326530612246,145.0
4.5,0.15,0.26468155500413565,0.517948717948718,0.33447098976109213,195.0
5.0,0.15,0.241321044546851,0.48095238095238096,0.3181818181818182,210.0
5.5,0.15,0.22509277761918356,0.4469026548672566,0.3046153846153846,226.0
1 SNR gamma BER FER DFR num_iterations
2 1.0 0.01 0.14838709677419354 0.8782608695652174 0.46261682242990654 115.0
3 1.5 0.01 0.13515016685205783 0.8706896551724138 0.46296296296296297 116.0
4 2.0 0.01 0.1074401664932362 0.8145161290322581 0.4488888888888889 124.0
5 2.5 0.01 0.08372865275142315 0.7426470588235294 0.423728813559322 136.0
6 3.0 0.01 0.06555671175858481 0.6516129032258065 0.39453125 155.0
7 3.5 0.01 0.04821366631980576 0.543010752688172 0.3519163763066202 186.0
8 4.0 0.01 0.03350354963258189 0.38996138996138996 0.28055555555555556 259.0
9 4.5 0.01 0.026089594498938214 0.3166144200626959 0.24047619047619048 319.0
10 5.0 0.01 0.018746833305184934 0.2643979057591623 0.2074688796680498 382.0
11 5.5 0.01 0.010534359478194422 0.17089678510998307 0.14595375722543352 591.0
12 1.0 0.05 0.1447132616487455 0.7013888888888888 0.4024896265560166 144.0
13 1.5 0.05 0.12072628935677034 0.6047904191616766 0.36981132075471695 167.0
14 2.0 0.05 0.09547738693467336 0.507537688442211 0.32996632996632996 199.0
15 2.5 0.05 0.06649586584371725 0.36462093862815886 0.2553763440860215 277.0
16 3.0 0.05 0.05501152073732719 0.3005952380952381 0.21495327102803738 336.0
17 3.5 0.05 0.037402669632925475 0.21767241379310345 0.17142857142857143 464.0
18 4.0 0.05 0.026206388464979215 0.16476345840130505 0.13904494382022473 613.0
19 4.5 0.05 0.017434803398683193 0.11516533637400228 0.10051282051282051 877.0
20 5.0 0.05 0.009589656870090116 0.06702057067020571 0.06164383561643835 1507.0
21 5.5 0.05 0.004745740724725417 0.033847184986595176 0.03148328464784161 2984.0
22 1.0 0.15 0.49738863287250384 0.9619047619047619 0.49029126213592233 105.0
23 1.5 0.15 0.4353358981947322 0.926605504587156 0.48095238095238096 109.0
24 2.0 0.15 0.41557686718977044 0.9099099099099099 0.47393364928909953 111.0
25 2.5 0.15 0.43534833288153973 0.8487394957983193 0.45161290322580644 119.0
26 3.0 0.15 0.43812797461660496 0.8278688524590164 0.45045045045045046 122.0
27 3.5 0.15 0.3939753320683112 0.7426470588235294 0.42127659574468085 136.0
28 4.0 0.15 0.35328142380422695 0.696551724137931 0.40816326530612246 145.0
29 4.5 0.15 0.26468155500413565 0.517948717948718 0.33447098976109213 195.0
30 5.0 0.15 0.241321044546851 0.48095238095238096 0.3181818181818182 210.0
31 5.5 0.15 0.22509277761918356 0.4469026548672566 0.3046153846153846 226.0

View File

@@ -0,0 +1,9 @@
{
"duration": 1.3552583850105293,
"name": "2d_BER_FER_DFR_bch_31_11",
"platform": "Linux-6.1.6-arch1-3-x86_64-with-glibc2.36",
"omega": 0.05,
"K": 200,
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"end_time": "2023-01-24 16:50:35.259895"
}

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@@ -0,0 +1,31 @@
SNR,gamma,BER,FER,DFR,num_iterations
1.0,0.01,0.1076036866359447,0.7214285714285714,0.014084507042253521,140.0
1.5,0.01,0.09863523573200993,0.6474358974358975,0.006369426751592357,156.0
2.0,0.01,0.06782464846980976,0.517948717948718,0.01015228426395939,195.0
2.5,0.01,0.05789547823637132,0.4410480349344978,0.01293103448275862,229.0
3.0,0.01,0.040507667900581704,0.33114754098360655,0.022435897435897436,305.0
3.5,0.01,0.03225806451612903,0.24634146341463414,0.0024330900243309003,410.0
4.0,0.01,0.021353930031803726,0.17781690140845072,0.01217391304347826,568.0
4.5,0.01,0.013437889859205132,0.11160220994475138,0.006586169045005488,905.0
5.0,0.01,0.0063573012906718825,0.05468327016783974,0.0021609940572663426,1847.0
5.5,0.01,0.0027177400481643932,0.023636789141118653,0.00046783625730994154,4273.0
1.0,0.05,0.08720083246618106,0.6516129032258065,0.00641025641025641,155.0
1.5,0.05,0.0712799167533819,0.543010752688172,0.0053475935828877,186.0
2.0,0.05,0.06328137058187992,0.48325358851674644,0.0,209.0
2.5,0.05,0.04130340017436791,0.34121621621621623,0.010033444816053512,296.0
3.0,0.05,0.02823529411764706,0.2376470588235294,0.009324009324009324,425.0
3.5,0.05,0.021330060776063583,0.18297101449275363,0.0018083182640144665,552.0
4.0,0.05,0.014593883328681367,0.12484548825710753,0.0,809.0
4.5,0.05,0.006654567453115548,0.06110102843315184,0.0006045949214026602,1653.0
5.0,0.05,0.0034803386837047425,0.032528180354267314,0.0003219575016097875,3105.0
5.5,0.05,0.0017559403087039132,0.01671078755790867,0.000496113775425831,6044.0
1.0,0.15,0.31174587540014775,0.7709923664122137,0.0,131.0
1.5,0.15,0.32302867383512546,0.7013888888888888,0.0,144.0
2.0,0.15,0.2903225806451613,0.6474358974358975,0.012658227848101266,156.0
2.5,0.15,0.20661703887510338,0.517948717948718,0.00510204081632653,195.0
3.0,0.15,0.20477476197243144,0.44493392070484583,0.0043859649122807015,227.0
3.5,0.15,0.14526953886122537,0.3389261744966443,0.0,298.0
4.0,0.15,0.1234954260953298,0.2512437810945274,0.0024813895781637717,402.0
4.5,0.15,0.09664719329438659,0.19881889763779528,0.0,508.0
5.0,0.15,0.055768179332968834,0.10699152542372882,0.0,944.0
5.5,0.15,0.0412538327040519,0.0793401413982718,0.0,1273.0
1 SNR gamma BER FER DFR num_iterations
2 1.0 0.01 0.1076036866359447 0.7214285714285714 0.014084507042253521 140.0
3 1.5 0.01 0.09863523573200993 0.6474358974358975 0.006369426751592357 156.0
4 2.0 0.01 0.06782464846980976 0.517948717948718 0.01015228426395939 195.0
5 2.5 0.01 0.05789547823637132 0.4410480349344978 0.01293103448275862 229.0
6 3.0 0.01 0.040507667900581704 0.33114754098360655 0.022435897435897436 305.0
7 3.5 0.01 0.03225806451612903 0.24634146341463414 0.0024330900243309003 410.0
8 4.0 0.01 0.021353930031803726 0.17781690140845072 0.01217391304347826 568.0
9 4.5 0.01 0.013437889859205132 0.11160220994475138 0.006586169045005488 905.0
10 5.0 0.01 0.0063573012906718825 0.05468327016783974 0.0021609940572663426 1847.0
11 5.5 0.01 0.0027177400481643932 0.023636789141118653 0.00046783625730994154 4273.0
12 1.0 0.05 0.08720083246618106 0.6516129032258065 0.00641025641025641 155.0
13 1.5 0.05 0.0712799167533819 0.543010752688172 0.0053475935828877 186.0
14 2.0 0.05 0.06328137058187992 0.48325358851674644 0.0 209.0
15 2.5 0.05 0.04130340017436791 0.34121621621621623 0.010033444816053512 296.0
16 3.0 0.05 0.02823529411764706 0.2376470588235294 0.009324009324009324 425.0
17 3.5 0.05 0.021330060776063583 0.18297101449275363 0.0018083182640144665 552.0
18 4.0 0.05 0.014593883328681367 0.12484548825710753 0.0 809.0
19 4.5 0.05 0.006654567453115548 0.06110102843315184 0.0006045949214026602 1653.0
20 5.0 0.05 0.0034803386837047425 0.032528180354267314 0.0003219575016097875 3105.0
21 5.5 0.05 0.0017559403087039132 0.01671078755790867 0.000496113775425831 6044.0
22 1.0 0.15 0.31174587540014775 0.7709923664122137 0.0 131.0
23 1.5 0.15 0.32302867383512546 0.7013888888888888 0.0 144.0
24 2.0 0.15 0.2903225806451613 0.6474358974358975 0.012658227848101266 156.0
25 2.5 0.15 0.20661703887510338 0.517948717948718 0.00510204081632653 195.0
26 3.0 0.15 0.20477476197243144 0.44493392070484583 0.0043859649122807015 227.0
27 3.5 0.15 0.14526953886122537 0.3389261744966443 0.0 298.0
28 4.0 0.15 0.1234954260953298 0.2512437810945274 0.0024813895781637717 402.0
29 4.5 0.15 0.09664719329438659 0.19881889763779528 0.0 508.0
30 5.0 0.15 0.055768179332968834 0.10699152542372882 0.0 944.0
31 5.5 0.15 0.0412538327040519 0.0793401413982718 0.0 1273.0

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{
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"platform": "Linux-6.1.6-arch1-3-x86_64-with-glibc2.36",
"omega": 0.05,
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"end_time": "2023-01-24 16:51:03.263440"
}

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SNR,gamma,BER,FER,DFR,num_iterations
1.0,0.01,0.09354864057834354,1.0,0.5,101.0
1.5,0.01,0.07331447430457332,1.0,0.5,101.0
2.0,0.01,0.05638063806380638,1.0,0.5,101.0
2.5,0.01,0.040782649693540785,1.0,0.5,101.0
3.0,0.01,0.024859943977591035,0.9901960784313726,0.4975369458128079,102.0
3.5,0.01,0.01549865229110512,0.9528301886792453,0.48792270531400966,106.0
4.0,0.01,0.008361678004535147,0.9017857142857143,0.47417840375586856,112.0
4.5,0.01,0.003981570256738042,0.6778523489932886,0.404,149.0
5.0,0.01,0.001657329598506069,0.396078431372549,0.28370786516853935,255.0
5.5,0.01,0.00063619302096256,0.20240480961923848,0.16833333333333333,499.0
1.0,0.05,0.09390224736759391,1.0,0.5,101.0
1.5,0.05,0.06728351406569229,1.0,0.5,101.0
2.0,0.05,0.04523809523809524,0.9619047619047619,0.49029126213592233,105.0
2.5,0.05,0.02620517342739565,0.7481481481481481,0.4279661016949153,135.0
3.0,0.05,0.010427855352667383,0.37969924812030076,0.27520435967302453,266.0
3.5,0.05,0.0029187763037022796,0.13593539703903096,0.11966824644549763,743.0
4.0,0.05,0.0006703462313819897,0.041512535963830664,0.039857932123125495,2433.0
4.5,0.05,9.190850090968527e-05,0.006645611264640084,0.00660173867573044,15198.0
5.0,0.05,1.3433806155116967e-05,0.0010221740934530255,0.0010211303204933778,98809.0
5.5,0.05,1.5555555555555556e-06,0.000126,0.00012598412600012398,500000.0
1.0,0.15,0.33667295300958666,1.0,0.5,101.0
1.5,0.15,0.33075986170045574,1.0,0.5,101.0
2.0,0.15,0.32374666038032374,1.0,0.5,101.0
2.5,0.15,0.31655665566556657,1.0,0.5,101.0
3.0,0.15,0.30365000785792867,1.0,0.5,101.0
3.5,0.15,0.309013044161559,1.0,0.5,101.0
4.0,0.15,0.3084040546911834,1.0,0.5,101.0
4.5,0.15,0.3033160458903033,1.0,0.5,101.0
5.0,0.15,0.3023338048090523,1.0,0.5,101.0
5.5,0.15,0.30788982259570497,0.9901960784313726,0.4975369458128079,102.0
1 SNR gamma BER FER DFR num_iterations
2 1.0 0.01 0.09354864057834354 1.0 0.5 101.0
3 1.5 0.01 0.07331447430457332 1.0 0.5 101.0
4 2.0 0.01 0.05638063806380638 1.0 0.5 101.0
5 2.5 0.01 0.040782649693540785 1.0 0.5 101.0
6 3.0 0.01 0.024859943977591035 0.9901960784313726 0.4975369458128079 102.0
7 3.5 0.01 0.01549865229110512 0.9528301886792453 0.48792270531400966 106.0
8 4.0 0.01 0.008361678004535147 0.9017857142857143 0.47417840375586856 112.0
9 4.5 0.01 0.003981570256738042 0.6778523489932886 0.404 149.0
10 5.0 0.01 0.001657329598506069 0.396078431372549 0.28370786516853935 255.0
11 5.5 0.01 0.00063619302096256 0.20240480961923848 0.16833333333333333 499.0
12 1.0 0.05 0.09390224736759391 1.0 0.5 101.0
13 1.5 0.05 0.06728351406569229 1.0 0.5 101.0
14 2.0 0.05 0.04523809523809524 0.9619047619047619 0.49029126213592233 105.0
15 2.5 0.05 0.02620517342739565 0.7481481481481481 0.4279661016949153 135.0
16 3.0 0.05 0.010427855352667383 0.37969924812030076 0.27520435967302453 266.0
17 3.5 0.05 0.0029187763037022796 0.13593539703903096 0.11966824644549763 743.0
18 4.0 0.05 0.0006703462313819897 0.041512535963830664 0.039857932123125495 2433.0
19 4.5 0.05 9.190850090968527e-05 0.006645611264640084 0.00660173867573044 15198.0
20 5.0 0.05 1.3433806155116967e-05 0.0010221740934530255 0.0010211303204933778 98809.0
21 5.5 0.05 1.5555555555555556e-06 0.000126 0.00012598412600012398 500000.0
22 1.0 0.15 0.33667295300958666 1.0 0.5 101.0
23 1.5 0.15 0.33075986170045574 1.0 0.5 101.0
24 2.0 0.15 0.32374666038032374 1.0 0.5 101.0
25 2.5 0.15 0.31655665566556657 1.0 0.5 101.0
26 3.0 0.15 0.30365000785792867 1.0 0.5 101.0
27 3.5 0.15 0.309013044161559 1.0 0.5 101.0
28 4.0 0.15 0.3084040546911834 1.0 0.5 101.0
29 4.5 0.15 0.3033160458903033 1.0 0.5 101.0
30 5.0 0.15 0.3023338048090523 1.0 0.5 101.0
31 5.5 0.15 0.30788982259570497 0.9901960784313726 0.4975369458128079 102.0

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{
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}

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n,k,fps,spf
96,48,7374.0570635159675,0.00013561055893473079
204,102,6601.111655956669,0.00015148963570365097
204,102,1450.823819165217,0.000689263566526903
408,204,317.62940489539665,0.0031483231230727054
31,11,8433.078242796635,0.00011858066191359955
31,26,61715.460243456524,1.6203395325177478e-05
504,252,195.7683929010524,0.0051080768717626035
1 n k fps spf
2 96 48 7374.0570635159675 0.00013561055893473079
3 204 102 6601.111655956669 0.00015148963570365097
4 204 102 1450.823819165217 0.000689263566526903
5 408 204 317.62940489539665 0.0031483231230727054
6 31 11 8433.078242796635 0.00011858066191359955
7 31 26 61715.460243456524 1.6203395325177478e-05
8 504 252 195.7683929010524 0.0051080768717626035

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{
"duration": 397.47346705402015,
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"platform": "Linux-6.1.6-arch1-3-x86_64-with-glibc2.36",
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"end_time": "2023-01-24 23:34:34.589607"
}

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{
"duration": 297.83671288599726,
"name": "2d_avg_error_20433484",
"platform": "Linux-6.1.6-arch1-3-x86_64-with-glibc2.36",
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"end_time": "2023-01-24 23:26:41.141614"
}

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@@ -0,0 +1,8 @@
{
"duration": 555.086431461008,
"name": "2d_avg_error_20433484",
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}

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{
"duration": 870.158950668003,
"name": "2d_avg_error_20433484",
"platform": "Linux-6.1.6-arch1-3-x86_64-with-glibc2.36",
"SNR": 8,
"K": 200,
"end_time": "2023-01-24 23:06:24.712365"
}

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SNR,gamma,BER,FER,DFR,num_iterations
1.0,0.0,0.13016889924286545,1.0,0.5,101.0
1.5,0.0,0.11390992040380508,1.0,0.5,101.0
2.0,0.0,0.10430013589594253,1.0,0.5,101.0
2.5,0.0,0.09017666472529606,1.0,0.5,101.0
3.0,0.0,0.08182877111240536,1.0,0.5,101.0
3.5,0.0,0.06887012230634829,1.0,0.5,101.0
4.0,0.0,0.057173364395263056,1.0,0.5,101.0
4.5,0.0,0.04610755193166376,1.0,0.5,101.0
5.0,0.0,0.03601242477188896,1.0,0.5,101.0
5.5,0.0,0.03195886197616302,0.9901960784313726,0.4975369458128079,102.0
6.0,0.0,0.02397592700446515,1.0,0.5,101.0
6.5,0.0,0.017445213379469436,0.9901960784313726,0.4975369458128079,102.0
7.0,0.0,0.01270053475935829,0.9181818181818182,0.4786729857819905,110.0
7.5,0.0,0.007798573975044563,0.7651515151515151,0.4334763948497854,132.0
1.0,0.01,0.09410794020578528,1.0,0.5,101.0
1.5,0.01,0.06997308727412534,0.9901960784313726,0.4975369458128079,102.0
2.0,0.01,0.05644393679802018,0.9805825242718447,0.4950980392156863,103.0
2.5,0.01,0.03820780648708082,0.9439252336448598,0.4855769230769231,107.0
3.0,0.01,0.025490196078431372,0.9181818181818182,0.4786729857819905,110.0
3.5,0.01,0.014961954931226222,0.753731343283582,0.4297872340425532,134.0
4.0,0.01,0.007832183152590644,0.5642458100558659,0.3607142857142857,179.0
4.5,0.01,0.003332051774958349,0.3300653594771242,0.24815724815724816,306.0
5.0,0.01,0.0017192128650021159,0.18165467625899281,0.1537290715372907,556.0
5.5,0.01,0.0007640035685135623,0.09777347531461762,0.0890652557319224,1033.0
6.0,0.01,0.0002406292110111927,0.03541374474053296,0.03420250592617677,2852.0
6.5,0.01,9.533468559837728e-05,0.013931034482758621,0.01373962726159706,7250.0
7.0,0.01,2.8408296271432968e-05,0.004502496433666191,0.004482314827142413,22432.0
7.5,0.01,7.857008939650586e-06,0.001395567346487592,0.0013936224524995515,72372.0
1.0,0.02,0.09030180699730873,0.9901960784313726,0.4975369458128079,102.0
1.5,0.02,0.06522331154684095,0.9351851851851852,0.48325358851674644,108.0
2.0,0.02,0.049919050188882895,0.926605504587156,0.48095238095238096,109.0
2.5,0.02,0.028994576554025864,0.7163120567375887,0.41735537190082644,141.0
3.0,0.02,0.01815435476516188,0.5872093023255814,0.36996336996337,172.0
3.5,0.02,0.009278711484593838,0.4007936507936508,0.28611898016997167,252.0
4.0,0.02,0.003515158519203359,0.19842829076620824,0.16557377049180327,509.0
4.5,0.02,0.0013487523022509087,0.08395677472984206,0.07745398773006135,1203.0
5.0,0.02,0.0004013143719026072,0.027747252747252746,0.026998128842555466,3640.0
5.5,0.02,0.00016504731356322146,0.011449948985375808,0.011320331764178435,8821.0
6.0,0.02,4.437431042911285e-05,0.0030375026314998044,0.0030283041496761815,33251.0
6.5,0.02,1.2192094202770043e-05,0.000845811141258835,0.0008450963493511167,119412.0
7.0,0.02,2.764705882352941e-06,0.000196,0.0001959615915280605,500000.0
7.5,0.02,6.96078431372549e-07,4.8e-05,4.799769611058669e-05,500000.0
1.0,0.03,0.09037692747001713,0.9805825242718447,0.4950980392156863,103.0
1.5,0.03,0.06437619295505813,0.8938053097345132,0.4719626168224299,113.0
2.0,0.03,0.04964273845131273,0.8559322033898306,0.4611872146118721,118.0
2.5,0.03,0.026193913148081317,0.6196319018404908,0.38257575757575757,163.0
3.0,0.03,0.01603641456582633,0.48095238095238096,0.3247588424437299,210.0
3.5,0.03,0.007452113793494276,0.29190751445086704,0.22595078299776286,346.0
4.0,0.03,0.0028573605608046325,0.13082901554404144,0.1156930126002291,772.0
4.5,0.03,0.0010247036667774454,0.05706214689265537,0.053981827899518976,1770.0
5.0,0.03,0.0003044266400985235,0.017819336626676077,0.01750736696134512,5668.0
5.5,0.03,0.00012169749196725593,0.007310364794441228,0.007257311202126895,13816.0
6.0,0.03,3.56236823804658e-05,0.0020911406033251208,0.002086776859504132,48299.0
6.5,0.03,1.0374588367264038e-05,0.0006638447786307709,0.0006634043810962593,152144.0
7.0,0.03,2.3627450980392157e-06,0.000152,0.0001519768995112743,500000.0
7.5,0.03,5.196078431372548e-07,3.4e-05,3.3998844039302665e-05,500000.0
1.0,0.04,0.09207362190159082,0.9528301886792453,0.48792270531400966,106.0
1.5,0.04,0.06675191815856778,0.8782608695652174,0.4675925925925926,115.0
2.0,0.04,0.04750233426704015,0.8015873015873016,0.44493392070484583,126.0
2.5,0.04,0.026018099547511313,0.5976331360946746,0.37407407407407406,169.0
3.0,0.04,0.012881896944824441,0.39147286821705424,0.28133704735376047,258.0
3.5,0.04,0.0065840061514802,0.24754901960784315,0.19842829076620824,408.0
4.0,0.04,0.0026100649280614337,0.1111111111111111,0.1,909.0
4.5,0.04,0.0009278379283402166,0.04791271347248577,0.045722046174739704,2108.0
5.0,0.04,0.0002976899261728983,0.016356275303643725,0.016093052899936264,6175.0
5.5,0.04,0.00011358050437191844,0.006394023803494555,0.0063534000125809904,15796.0
6.0,0.04,4.008014206588538e-05,0.0023460546793338134,0.0023405635891731555,43051.0
6.5,0.04,1.0293767220940665e-05,0.0006446589052287582,0.000644243587862706,156672.0
7.0,0.04,2.450980392156863e-06,0.000154,0.00015397628765170164,500000.0
7.5,0.04,6.176470588235294e-07,4e-05,3.999840006399744e-05,500000.0
1.0,0.05,0.0947558268590455,0.9528301886792453,0.48792270531400966,106.0
1.5,0.05,0.06581415174765558,0.8782608695652174,0.4675925925925926,115.0
2.0,0.05,0.047244094488188976,0.7952755905511811,0.44298245614035087,127.0
2.5,0.05,0.02558940242763772,0.6011904761904762,0.3754646840148699,168.0
3.0,0.05,0.012649629140045532,0.3782771535580524,0.27445652173913043,267.0
3.5,0.05,0.00588833094213295,0.20528455284552846,0.1703204047217538,492.0
4.0,0.05,0.002538604818842757,0.10316649642492338,0.09351851851851851,979.0
4.5,0.05,0.0009202565784678184,0.046933085501858735,0.044829116733244564,2152.0
5.0,0.05,0.0002940220301384533,0.01641742522756827,0.01615224692147769,6152.0
5.5,0.05,0.00011692575119219662,0.006564409203171715,0.006521598760250533,15386.0
6.0,0.05,3.577639534879112e-05,0.002041930331763136,0.0020377693487208456,49463.0
6.5,0.05,1.0852103196792829e-05,0.0006775658614143013,0.0006771070767745569,149063.0
7.0,0.05,2.3725490196078433e-06,0.00015,0.00014997750337449384,500000.0
7.5,0.05,6.568627450980392e-07,4.2e-05,4.199823607408489e-05,500000.0
1.0,0.06,0.0957732149463559,0.9528301886792453,0.48792270531400966,106.0
1.5,0.06,0.06699346405228758,0.8632478632478633,0.463302752293578,117.0
2.0,0.06,0.05048633626679018,0.7952755905511811,0.44298245614035087,127.0
2.5,0.06,0.026059274284426413,0.5804597701149425,0.36727272727272725,174.0
3.0,0.06,0.012814863773224645,0.3782771535580524,0.27445652173913043,267.0
3.5,0.06,0.006304073735924525,0.22394678492239467,0.18297101449275363,451.0
4.0,0.06,0.0025645685668706205,0.10401647785787847,0.09421641791044776,971.0
4.5,0.06,0.0008676426545460951,0.04537286612758311,0.04340352385045122,2226.0
5.0,0.06,0.0003190777623385312,0.017672790901137356,0.01736588720770289,5715.0
5.5,0.06,0.00012802567341504216,0.00732733604178758,0.00727403673028448,13784.0
6.0,0.06,3.7053184014162366e-05,0.0021265844106623994,0.0021220716461813217,47494.0
6.5,0.06,1.0274078481140562e-05,0.0006473612019125999,0.00064694239650523,156018.0
7.0,0.06,2.46078431372549e-06,0.000156,0.00015597566779582386,500000.0
7.5,0.06,5.490196078431373e-07,3.6e-05,3.599870404665432e-05,500000.0
1.0,0.07,0.09734554199038106,0.9528301886792453,0.48792270531400966,106.0
1.5,0.07,0.06668356997971603,0.8706896551724138,0.46543778801843316,116.0
2.0,0.07,0.0509344362745098,0.7890625,0.4410480349344978,128.0
2.5,0.07,0.026284651791751185,0.5804597701149425,0.36727272727272725,174.0
3.0,0.07,0.01309025482852317,0.3782771535580524,0.27445652173913043,267.0
3.5,0.07,0.006422119409561578,0.22696629213483147,0.184981684981685,445.0
4.0,0.07,0.002640349738129247,0.11147902869757174,0.1002979145978153,906.0
4.5,0.07,0.0009502336090686274,0.04931640625,0.04699860400186133,2048.0
5.0,0.07,0.0003310118602339736,0.018090632276553824,0.01776917663617171,5583.0
5.5,0.07,0.00011619651767974708,0.0065772336545975515,0.006534256323995601,15356.0
6.0,0.07,3.877701447136334e-05,0.002250596073712592,0.002245542265107386,44877.0
6.5,0.07,1.1830786200915143e-05,0.0007386712693444109,0.0007381260368478364,136732.0
7.0,0.07,2.7549019607843135e-06,0.000172,0.00017197042108757293,500000.0
7.5,0.07,4.901960784313725e-07,3.2e-05,3.199897603276695e-05,500000.0
1.0,0.08,0.09487813817115631,0.9439252336448598,0.4855769230769231,107.0
1.5,0.08,0.06786680189317106,0.8706896551724138,0.46543778801843316,116.0
2.0,0.08,0.05188536953242836,0.7769230769230769,0.43722943722943725,130.0
2.5,0.08,0.027359781121751026,0.5872093023255814,0.36996336996337,172.0
3.0,0.08,0.01338979171435111,0.39299610894941633,0.28212290502793297,257.0
3.5,0.08,0.006565126050420168,0.22544642857142858,0.18397085610200364,448.0
4.0,0.08,0.0026592336280917596,0.11002178649237472,0.09911678115799803,918.0
4.5,0.08,0.0010749450642325896,0.05441810344827586,0.0516096065406234,1856.0
5.0,0.08,0.00036965605914496947,0.019479267116682738,0.01910707529322739,5185.0
5.5,0.08,0.00012361614795691875,0.007035876001393243,0.0069867183176535695,14355.0
6.0,0.08,4.2284025381882086e-05,0.002461073612904798,0.002455031599416626,41039.0
6.5,0.08,1.2240792065738477e-05,0.0007551176039595078,0.0007545478316088305,133754.0
7.0,0.08,2.715686274509804e-06,0.000172,0.00017197042108757293,500000.0
7.5,0.08,5.588235294117647e-07,3.6e-05,3.599870404665432e-05,500000.0
1.0,0.09,0.09762301146873843,0.9528301886792453,0.48792270531400966,106.0
1.5,0.09,0.06987444100447196,0.8859649122807017,0.4697674418604651,114.0
2.0,0.09,0.0531496062992126,0.7952755905511811,0.44298245614035087,127.0
2.5,0.09,0.028342245989304814,0.6121212121212121,0.37969924812030076,165.0
3.0,0.09,0.015068990559186637,0.4156378600823045,0.2936046511627907,243.0
3.5,0.09,0.006645114942528735,0.21767241379310345,0.17876106194690267,464.0
4.0,0.09,0.0026683622451197774,0.11197339246119734,0.10069790628115653,902.0
4.5,0.09,0.0011544262675484394,0.059763313609467454,0.056393076493579004,1690.0
5.0,0.09,0.000323066434669353,0.017471025774087528,0.01717103026181571,5781.0
5.5,0.09,0.00013994339191245457,0.008122235625251308,0.008056796426292279,12435.0
6.0,0.09,4.0161512455483895e-05,0.0023244039399797477,0.0023190136155947926,43452.0
6.5,0.09,1.2820099459406346e-05,0.0007908542792263723,0.0007902293229847196,127710.0
7.0,0.09,2.9901960784313724e-06,0.000188,0.00018796466264342303,500000.0
7.5,0.09,8.431372549019608e-07,5.4e-05,5.39970841574555e-05,500000.0
1.0,0.1,0.09863478101520982,0.9439252336448598,0.4855769230769231,107.0
1.5,0.1,0.07107843137254902,0.9017857142857143,0.47417840375586856,112.0
2.0,0.1,0.0548406862745098,0.7890625,0.4410480349344978,128.0
2.5,0.1,0.030971479500891266,0.6558441558441559,0.396078431372549,154.0
3.0,0.1,0.013721912122513238,0.3686131386861314,0.2693333333333333,274.0
3.5,0.1,0.007117601138816182,0.23653395784543327,0.19128787878787878,427.0
4.0,0.1,0.003256827969932857,0.1377899045020464,0.1211031175059952,733.0
4.5,0.1,0.0010676841344484178,0.04834849210148397,0.046118721461187215,2089.0
5.0,0.1,0.000391496273499491,0.02001585414189457,0.01962308140664465,5046.0
5.5,0.1,0.00013110636765910645,0.007300852970941159,0.007247936849659132,13834.0
6.0,0.1,4.6469698333988914e-05,0.0027123559900099365,0.0027050190154802077,37237.0
6.5,0.1,1.4358482214932788e-05,0.000860006301036265,0.0008592673257218697,117441.0
7.0,0.1,3.107843137254902e-06,0.000198,0.00019796080376085535,500000.0
7.5,0.1,8.627450980392156e-07,5.4e-05,5.39970841574555e-05,500000.0
1.0,0.11,0.09868059373282023,0.9439252336448598,0.4855769230769231,107.0
1.5,0.11,0.07357317927170869,0.9017857142857143,0.47417840375586856,112.0
2.0,0.11,0.05273321449792038,0.7651515151515151,0.4334763948497854,132.0
2.5,0.11,0.033249484004127965,0.6644736842105263,0.39920948616600793,152.0
3.0,0.11,0.014938457134678689,0.3686131386861314,0.2693333333333333,274.0
3.5,0.11,0.00837662033787262,0.24105011933174225,0.19423076923076923,419.0
4.0,0.11,0.0035059537469083863,0.13133940182054615,0.11609195402298851,769.0
4.5,0.11,0.0011208468207017151,0.04791271347248577,0.045722046174739704,2108.0
5.0,0.11,0.00043153577768256107,0.021019771071800208,0.02058703628210355,4805.0
5.5,0.11,0.00015734593947451842,0.00792654214409041,0.007864206182356148,12742.0
6.0,0.11,7.48315598845975e-05,0.004068151609135216,0.0040516688061617455,24827.0
6.5,0.11,1.59467529479283e-05,0.0009152281274070047,0.0009143912508148041,110355.0
7.0,0.11,5.295674329001116e-06,0.0002819433433455788,0.0002818638737026587,358228.0
7.5,0.11,1.1176470588235294e-06,6.6e-05,6.599564428747703e-05,500000.0
1.0,0.12,0.12740384615384615,0.9711538461538461,0.4926829268292683,104.0
1.5,0.12,0.10430283224400871,0.9351851851851852,0.48325358851674644,108.0
2.0,0.12,0.08233632436025258,0.8559322033898306,0.4611872146118721,118.0
2.5,0.12,0.06005809731299928,0.7481481481481481,0.4279661016949153,135.0
3.0,0.12,0.03891090114802398,0.5233160621761658,0.3435374149659864,193.0
3.5,0.12,0.022793232816592342,0.36462093862815886,0.2671957671957672,277.0
4.0,0.12,0.010509303903710847,0.18397085610200364,0.15538461538461537,549.0
4.5,0.12,0.006082062454611474,0.10390946502057613,0.09412861136999068,972.0
5.0,0.12,0.0030410982709184117,0.04972919743968488,0.0473733583489681,2031.0
5.5,0.12,0.0012914918514713017,0.021002287377833228,0.020370747606437156,4809.0
6.0,0.12,0.0006120792155158086,0.010975874809823951,0.010856712888315597,9202.0
6.5,0.12,0.0002848113322386914,0.00478650300933605,0.0047637015375907935,21101.0
7.0,0.12,0.00015880719643403545,0.0026623787431463517,0.0026553093040986406,37936.0
7.5,0.12,9.887878094521482e-05,0.001552818904417078,0.0015504113962912932,65043.0
1.0,0.13,0.20258202290817318,1.0,0.5,101.0
1.5,0.13,0.1892350999805863,1.0,0.5,101.0
2.0,0.13,0.1705788084464555,0.9711538461538461,0.4926829268292683,104.0
2.5,0.13,0.16332233828110684,0.9439252336448598,0.4855769230769231,107.0
3.0,0.13,0.13447583757912615,0.7952755905511811,0.44298245614035087,127.0
3.5,0.13,0.12821350762527234,0.7481481481481481,0.4279661016949153,135.0
4.0,0.13,0.09359325125398997,0.5872093023255814,0.36996336996337,172.0
4.5,0.13,0.07852299798424042,0.4719626168224299,0.32063492063492066,214.0
5.0,0.13,0.061255361519607844,0.39453125,0.28291316526610644,256.0
5.5,0.13,0.057405013287366226,0.36996336996337,0.2700534759358289,273.0
6.0,0.13,0.05830388692579505,0.3568904593639576,0.2630208333333333,283.0
6.5,0.13,0.053853009735362674,0.3531468531468531,0.26098191214470284,286.0
7.0,0.13,0.04520697167755991,0.28055555555555556,0.21908893709327548,360.0
7.5,0.13,0.04738082916451038,0.2961876832844575,0.22850678733031674,341.0
1.0,0.14,0.30188312948941953,1.0,0.5,101.0
1.5,0.14,0.2989225393127548,1.0,0.5,101.0
2.0,0.14,0.2915938652688798,1.0,0.5,101.0
2.5,0.14,0.2830161476355248,0.9901960784313726,0.4975369458128079,102.0
3.0,0.14,0.26663838612368024,0.9711538461538461,0.4926829268292683,104.0
3.5,0.14,0.26035367417995237,0.9439252336448598,0.4855769230769231,107.0
4.0,0.14,0.2349137931034483,0.8706896551724138,0.46543778801843316,116.0
4.5,0.14,0.22372227579556414,0.8278688524590164,0.452914798206278,122.0
5.0,0.14,0.22702965483714146,0.8347107438016529,0.45495495495495497,121.0
5.5,0.14,0.20850433196534426,0.7829457364341085,0.4391304347826087,129.0
6.0,0.14,0.20122549019607844,0.7214285714285714,0.4190871369294606,140.0
6.5,0.14,0.1672268907563025,0.5771428571428572,0.36594202898550726,175.0
7.0,0.14,0.14585645578986312,0.47641509433962265,0.3226837060702875,212.0
7.5,0.14,0.10216795051353875,0.3005952380952381,0.2311212814645309,336.0
1.0,0.15,0.37036497767423804,1.0,0.5,101.0
1.5,0.15,0.36036691904484563,1.0,0.5,101.0
2.0,0.15,0.35255290234905845,1.0,0.5,101.0
2.5,0.15,0.3493981751116288,1.0,0.5,101.0
3.0,0.15,0.3480392156862745,0.9901960784313726,0.4975369458128079,102.0
3.5,0.15,0.34475537787930705,0.9805825242718447,0.4950980392156863,103.0
4.0,0.15,0.34837235865219873,0.9805825242718447,0.4950980392156863,103.0
4.5,0.15,0.3258258258258258,0.9099099099099099,0.47641509433962265,111.0
5.0,0.15,0.3237076648841355,0.9181818181818182,0.4786729857819905,110.0
5.5,0.15,0.30232947880006705,0.8632478632478633,0.463302752293578,117.0
6.0,0.15,0.2957248473159756,0.8278688524590164,0.452914798206278,122.0
6.5,0.15,0.22986804784807005,0.6352201257861635,0.38846153846153847,159.0
7.0,0.15,0.15203828566999922,0.39920948616600793,0.2853107344632768,253.0
7.5,0.15,0.10432479443390259,0.271505376344086,0.2135306553911205,372.0
1.0,0.16,0.40870704717530576,1.0,0.5,101.0
1.5,0.16,0.4099204038050864,1.0,0.5,101.0
2.0,0.16,0.39845251826220685,0.9901960784313726,0.4975369458128079,102.0
2.5,0.16,0.39511745292176276,1.0,0.5,101.0
3.0,0.16,0.4057949912638323,1.0,0.5,101.0
3.5,0.16,0.40695981362842165,1.0,0.5,101.0
4.0,0.16,0.4024842946887493,0.9805825242718447,0.4950980392156863,103.0
4.5,0.16,0.3882447209653092,0.9711538461538461,0.4926829268292683,104.0
5.0,0.16,0.4009515570934256,0.9901960784313726,0.4975369458128079,102.0
5.5,0.16,0.37219251336898396,0.9181818181818182,0.4786729857819905,110.0
6.0,0.16,0.34126786307743434,0.8559322033898306,0.4611872146118721,118.0
6.5,0.16,0.310105580693816,0.7769230769230769,0.43722943722943725,130.0
7.0,0.16,0.27992238562091504,0.7013888888888888,0.4122448979591837,144.0
7.5,0.16,0.20819364015036065,0.5233160621761658,0.3435374149659864,193.0
1 SNR gamma BER FER DFR num_iterations
2 1.0 0.0 0.13016889924286545 1.0 0.5 101.0
3 1.5 0.0 0.11390992040380508 1.0 0.5 101.0
4 2.0 0.0 0.10430013589594253 1.0 0.5 101.0
5 2.5 0.0 0.09017666472529606 1.0 0.5 101.0
6 3.0 0.0 0.08182877111240536 1.0 0.5 101.0
7 3.5 0.0 0.06887012230634829 1.0 0.5 101.0
8 4.0 0.0 0.057173364395263056 1.0 0.5 101.0
9 4.5 0.0 0.04610755193166376 1.0 0.5 101.0
10 5.0 0.0 0.03601242477188896 1.0 0.5 101.0
11 5.5 0.0 0.03195886197616302 0.9901960784313726 0.4975369458128079 102.0
12 6.0 0.0 0.02397592700446515 1.0 0.5 101.0
13 6.5 0.0 0.017445213379469436 0.9901960784313726 0.4975369458128079 102.0
14 7.0 0.0 0.01270053475935829 0.9181818181818182 0.4786729857819905 110.0
15 7.5 0.0 0.007798573975044563 0.7651515151515151 0.4334763948497854 132.0
16 1.0 0.01 0.09410794020578528 1.0 0.5 101.0
17 1.5 0.01 0.06997308727412534 0.9901960784313726 0.4975369458128079 102.0
18 2.0 0.01 0.05644393679802018 0.9805825242718447 0.4950980392156863 103.0
19 2.5 0.01 0.03820780648708082 0.9439252336448598 0.4855769230769231 107.0
20 3.0 0.01 0.025490196078431372 0.9181818181818182 0.4786729857819905 110.0
21 3.5 0.01 0.014961954931226222 0.753731343283582 0.4297872340425532 134.0
22 4.0 0.01 0.007832183152590644 0.5642458100558659 0.3607142857142857 179.0
23 4.5 0.01 0.003332051774958349 0.3300653594771242 0.24815724815724816 306.0
24 5.0 0.01 0.0017192128650021159 0.18165467625899281 0.1537290715372907 556.0
25 5.5 0.01 0.0007640035685135623 0.09777347531461762 0.0890652557319224 1033.0
26 6.0 0.01 0.0002406292110111927 0.03541374474053296 0.03420250592617677 2852.0
27 6.5 0.01 9.533468559837728e-05 0.013931034482758621 0.01373962726159706 7250.0
28 7.0 0.01 2.8408296271432968e-05 0.004502496433666191 0.004482314827142413 22432.0
29 7.5 0.01 7.857008939650586e-06 0.001395567346487592 0.0013936224524995515 72372.0
30 1.0 0.02 0.09030180699730873 0.9901960784313726 0.4975369458128079 102.0
31 1.5 0.02 0.06522331154684095 0.9351851851851852 0.48325358851674644 108.0
32 2.0 0.02 0.049919050188882895 0.926605504587156 0.48095238095238096 109.0
33 2.5 0.02 0.028994576554025864 0.7163120567375887 0.41735537190082644 141.0
34 3.0 0.02 0.01815435476516188 0.5872093023255814 0.36996336996337 172.0
35 3.5 0.02 0.009278711484593838 0.4007936507936508 0.28611898016997167 252.0
36 4.0 0.02 0.003515158519203359 0.19842829076620824 0.16557377049180327 509.0
37 4.5 0.02 0.0013487523022509087 0.08395677472984206 0.07745398773006135 1203.0
38 5.0 0.02 0.0004013143719026072 0.027747252747252746 0.026998128842555466 3640.0
39 5.5 0.02 0.00016504731356322146 0.011449948985375808 0.011320331764178435 8821.0
40 6.0 0.02 4.437431042911285e-05 0.0030375026314998044 0.0030283041496761815 33251.0
41 6.5 0.02 1.2192094202770043e-05 0.000845811141258835 0.0008450963493511167 119412.0
42 7.0 0.02 2.764705882352941e-06 0.000196 0.0001959615915280605 500000.0
43 7.5 0.02 6.96078431372549e-07 4.8e-05 4.799769611058669e-05 500000.0
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238 7.0 0.16 0.27992238562091504 0.7013888888888888 0.4122448979591837 144.0
239 7.5 0.16 0.20819364015036065 0.5233160621761658 0.3435374149659864 193.0

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@@ -0,0 +1,8 @@
{
"duration": 1056.983127202002,
"name": "2d_BER_FER_DFR_20433484",
"platform": "Linux-6.1.6-arch1-1-x86_64-with-glibc2.36",
"omega": 0.05,
"K": 200,
"end_time": "2023-01-17 18:58:33.496993"
}

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@@ -0,0 +1,171 @@
SNR,gamma,BER,FER,DFR,num_iterations
1.0,0.0,0.13041157056882158,1.0,0.5,101.0
1.5,0.0,0.11803533294505922,1.0,0.5,101.0
2.0,0.0,0.10337798485730926,1.0,0.5,101.0
2.5,0.0,0.09109881576392934,1.0,0.5,101.0
3.0,0.0,0.0828965249466123,1.0,0.5,101.0
3.5,0.0,0.0648417782954766,1.0,0.5,101.0
4.0,0.0,0.05547466511357018,1.0,0.5,101.0
4.5,0.0,0.04615608619685498,1.0,0.5,101.0
5.0,0.0,0.03751698699281693,1.0,0.5,101.0
5.5,0.0,0.028745478774033887,0.9805825242718447,0.4950980392156863,103.0
1.0,0.01,0.12682003494467095,1.0,0.5,101.0
1.5,0.01,0.10303824500097068,1.0,0.5,101.0
2.0,0.01,0.0895202741290691,0.9805825242718447,0.4950980392156863,103.0
2.5,0.01,0.06111710739341608,0.926605504587156,0.48095238095238096,109.0
3.0,0.01,0.042294603791929994,0.8347107438016529,0.45495495495495497,121.0
3.5,0.01,0.0196078431372549,0.5804597701149425,0.36727272727272725,174.0
4.0,0.01,0.008482389821132214,0.3166144200626959,0.24047619047619048,319.0
4.5,0.01,0.0031009641425631027,0.13950276243093923,0.12242424242424242,724.0
5.0,0.01,0.000809970597599116,0.04823304680038205,0.04601366742596811,2094.0
5.5,0.01,0.00016017610218320026,0.011786672890652352,0.011649365628604382,8569.0
1.0,0.02,0.12759658318773054,1.0,0.5,101.0
1.5,0.02,0.10368814192343605,0.9619047619047619,0.49029126213592233,105.0
2.0,0.02,0.09073083778966132,0.9181818181818182,0.4786729857819905,110.0
2.5,0.02,0.05997927626335087,0.8211382113821138,0.45089285714285715,123.0
3.0,0.02,0.038327205882352944,0.63125,0.38697318007662834,160.0
3.5,0.02,0.016095037363479593,0.3289902280130293,0.24754901960784315,307.0
4.0,0.02,0.005628976994615761,0.14831130690161526,0.12915601023017903,681.0
4.5,0.02,0.001486085989181294,0.04374187960155912,0.041908713692946055,2309.0
5.0,0.02,0.0003706720496747766,0.012161348585189646,0.012015227218653344,8305.0
5.5,0.02,4.3831770108026713e-05,0.0016662542275014435,0.0016634824428486724,60615.0
1.0,0.03,0.12842166569598137,1.0,0.5,101.0
1.5,0.03,0.10506221719457014,0.9711538461538461,0.4926829268292683,104.0
2.0,0.03,0.09215686274509804,0.9181818181818182,0.4786729857819905,110.0
2.5,0.03,0.059200603318250375,0.7769230769230769,0.43722943722943725,130.0
3.0,0.03,0.039246133235903057,0.6273291925465838,0.38549618320610685,161.0
3.5,0.03,0.01752055660974067,0.3258064516129032,0.24574209245742093,310.0
4.0,0.03,0.006353001323228678,0.1549079754601227,0.1341301460823373,652.0
4.5,0.03,0.0015639997257644316,0.04414335664335664,0.04227710339053997,2288.0
5.0,0.03,0.00041049690434868236,0.012680477087256748,0.01252169600793454,7965.0
5.5,0.03,4.623396973812682e-05,0.001707176904093844,0.0017042674181192313,59162.0
1.0,0.04,0.13046010483401282,1.0,0.5,101.0
1.5,0.04,0.10644257703081232,0.9619047619047619,0.49029126213592233,105.0
2.0,0.04,0.09255793226381462,0.9181818181818182,0.4786729857819905,110.0
2.5,0.04,0.061659374493599095,0.8347107438016529,0.45495495495495497,121.0
3.0,0.04,0.037362505978000955,0.6158536585365854,0.38113207547169814,164.0
3.5,0.04,0.017938334754191532,0.36594202898550726,0.26790450928381965,276.0
4.0,0.04,0.006777361022169365,0.15707620528771385,0.135752688172043,643.0
4.5,0.04,0.001880984952120383,0.05872093023255814,0.05546403075233388,1720.0
5.0,0.04,0.00047726234453046763,0.015584014812528931,0.01534487997569128,6481.0
5.5,0.04,5.9633434663944794e-05,0.002381176914371935,0.0023755203800832608,42416.0
1.0,0.05,0.13012036497767424,1.0,0.5,101.0
1.5,0.05,0.10630252100840336,0.9619047619047619,0.49029126213592233,105.0
2.0,0.05,0.09390178089584458,0.926605504587156,0.48095238095238096,109.0
2.5,0.05,0.060058669136946116,0.7952755905511811,0.44298245614035087,127.0
3.0,0.05,0.03856825749167592,0.6352201257861635,0.38846153846153847,159.0
3.5,0.05,0.020580454403983817,0.4007936507936508,0.28611898016997167,252.0
4.0,0.05,0.008242486183662655,0.19498069498069498,0.1631663974151858,518.0
4.5,0.05,0.0024946180252516438,0.07492581602373888,0.06970324361628709,1348.0
5.0,0.05,0.0006870391739773196,0.023871425194989363,0.023314866112650046,4231.0
5.5,0.05,0.0001187199352756501,0.005033138984402253,0.005007933359777866,20067.0
1.0,0.06,0.13963308095515434,1.0,0.5,101.0
1.5,0.06,0.12782805429864252,0.9711538461538461,0.4926829268292683,104.0
2.0,0.06,0.11363211951447245,0.9619047619047619,0.49029126213592233,105.0
2.5,0.06,0.093968837535014,0.9017857142857143,0.47417840375586856,112.0
3.0,0.06,0.08508986928104575,0.8416666666666667,0.45701357466063347,120.0
3.5,0.06,0.07619485294117648,0.63125,0.38697318007662834,160.0
4.0,0.06,0.06640495181123297,0.4279661016949153,0.2997032640949555,236.0
4.5,0.06,0.04242399206873761,0.28370786516853935,0.2210065645514223,356.0
5.0,0.06,0.025403188216649577,0.1600633914421553,0.13797814207650272,631.0
5.5,0.06,0.018433179723502304,0.09308755760368663,0.0851602023608769,1085.0
1.0,0.07,0.20889147738303243,1.0,0.5,101.0
1.5,0.07,0.19986410405746458,1.0,0.5,101.0
2.0,0.07,0.19626879878164857,0.9805825242718447,0.4950980392156863,103.0
2.5,0.07,0.19612648981161093,0.9901960784313726,0.4975369458128079,102.0
3.0,0.07,0.1917420814479638,0.9711538461538461,0.4926829268292683,104.0
3.5,0.07,0.1957720588235294,0.9017857142857143,0.47417840375586856,112.0
4.0,0.07,0.14399509803921567,0.6644736842105263,0.39920948616600793,152.0
4.5,0.07,0.13647504456327986,0.5738636363636364,0.36462093862815886,176.0
5.0,0.07,0.12161634565330556,0.4469026548672566,0.308868501529052,226.0
5.5,0.07,0.07485094351220112,0.3166144200626959,0.24047619047619048,319.0
1.0,0.08,0.2632013201320132,1.0,0.5,101.0
1.5,0.08,0.26635604736944285,1.0,0.5,101.0
2.0,0.08,0.25413302575932334,0.9901960784313726,0.4975369458128079,102.0
2.5,0.08,0.27674238012036495,1.0,0.5,101.0
3.0,0.08,0.26018838908112263,0.9901960784313726,0.4975369458128079,102.0
3.5,0.08,0.24689250700280113,0.9017857142857143,0.47417840375586856,112.0
4.0,0.08,0.2452281797674822,0.8938053097345132,0.4719626168224299,113.0
4.5,0.08,0.2685277500830841,0.8559322033898306,0.4611872146118721,118.0
5.0,0.08,0.1766712532966403,0.5906432748538012,0.3713235294117647,171.0
5.5,0.08,0.1536550103912533,0.46543778801843316,0.31761006289308175,217.0
1.0,0.09,0.3060085420306737,1.0,0.5,101.0
1.5,0.09,0.30348476024072996,1.0,0.5,101.0
2.0,0.09,0.30401863715783345,1.0,0.5,101.0
2.5,0.09,0.3125121335662978,1.0,0.5,101.0
3.0,0.09,0.3019511726259131,0.9901960784313726,0.4975369458128079,102.0
3.5,0.09,0.31381975867269984,0.9711538461538461,0.4926829268292683,104.0
4.0,0.09,0.2743748875697068,0.926605504587156,0.48095238095238096,109.0
4.5,0.09,0.26221599751011515,0.8015873015873016,0.44493392070484583,126.0
5.0,0.09,0.2593759726112667,0.8015873015873016,0.44493392070484583,126.0
5.5,0.09,0.25,0.7426470588235294,0.42616033755274263,136.0
1.0,0.1,0.3504659289458358,1.0,0.5,101.0
1.5,0.1,0.34017666472529606,1.0,0.5,101.0
2.0,0.1,0.3299359347699476,1.0,0.5,101.0
2.5,0.1,0.35085420306736553,1.0,0.5,101.0
3.0,0.1,0.3425548437196661,1.0,0.5,101.0
3.5,0.1,0.3208427601809955,0.9711538461538461,0.4926829268292683,104.0
4.0,0.1,0.3398378582202112,0.9711538461538461,0.4926829268292683,104.0
4.5,0.1,0.2778876256384907,0.8487394957983193,0.4590909090909091,119.0
5.0,0.1,0.2815638450502152,0.8211382113821138,0.45089285714285715,123.0
5.5,0.1,0.23818592185075468,0.7266187050359713,0.42083333333333334,139.0
1.0,0.11,0.36633663366336633,1.0,0.5,101.0
1.5,0.11,0.35774606872451953,1.0,0.5,101.0
2.0,0.11,0.3492040380508639,1.0,0.5,101.0
2.5,0.11,0.36740438749757326,1.0,0.5,101.0
3.0,0.11,0.3654144826247331,1.0,0.5,101.0
3.5,0.11,0.35391186177441275,1.0,0.5,101.0
4.0,0.11,0.36538461538461536,0.9711538461538461,0.4926829268292683,104.0
4.5,0.11,0.34916351861845657,0.926605504587156,0.48095238095238096,109.0
5.0,0.11,0.3227124183006536,0.8859649122807017,0.4697674418604651,114.0
5.5,0.11,0.34650468883205454,0.8782608695652174,0.4675925925925926,115.0
1.0,0.12,0.40166957872257814,1.0,0.5,101.0
1.5,0.12,0.37919821393904096,1.0,0.5,101.0
2.0,0.12,0.3928363424577752,1.0,0.5,101.0
2.5,0.12,0.38827412152980006,1.0,0.5,101.0
3.0,0.12,0.38211026985051444,1.0,0.5,101.0
3.5,0.12,0.42176276451174527,1.0,0.5,101.0
4.0,0.12,0.38475586312956556,0.9901960784313726,0.4975369458128079,102.0
4.5,0.12,0.3806542418947777,1.0,0.5,101.0
5.0,0.12,0.41387927720107653,0.9901960784313726,0.4975369458128079,102.0
5.5,0.12,0.4516217702034085,0.9439252336448598,0.4855769230769231,107.0
1.0,0.13,0.4370995923121724,1.0,0.5,101.0
1.5,0.13,0.45971655989128324,1.0,0.5,101.0
2.0,0.13,0.45520287322849934,1.0,0.5,101.0
2.5,0.13,0.4187051058046981,1.0,0.5,101.0
3.0,0.13,0.4418074160357212,1.0,0.5,101.0
3.5,0.13,0.4629198213939041,1.0,0.5,101.0
4.0,0.13,0.4772859638905067,1.0,0.5,101.0
4.5,0.13,0.4520750047591852,0.9805825242718447,0.4950980392156863,103.0
5.0,0.13,0.4471577621874438,0.926605504587156,0.48095238095238096,109.0
5.5,0.13,0.4532952069716776,0.9351851851851852,0.48325358851674644,108.0
1.0,0.14,0.49155503785672683,1.0,0.5,101.0
1.5,0.14,0.4717045233935158,1.0,0.5,101.0
2.0,0.14,0.47316055134925256,1.0,0.5,101.0
2.5,0.14,0.48786643370219374,1.0,0.5,101.0
3.0,0.14,0.4816055134925257,1.0,0.5,101.0
3.5,0.14,0.4835468841001747,1.0,0.5,101.0
4.0,0.14,0.4920889147738303,1.0,0.5,101.0
4.5,0.14,0.48755286428296807,0.9901960784313726,0.4975369458128079,102.0
5.0,0.14,0.4675124951941561,0.9901960784313726,0.4975369458128079,102.0
5.5,0.14,0.44789915966386556,0.9619047619047619,0.49029126213592233,105.0
1.0,0.15,0.484469035138808,1.0,0.5,101.0
1.5,0.15,0.503445932828577,1.0,0.5,101.0
2.0,0.15,0.4925257231605514,1.0,0.5,101.0
2.5,0.15,0.49694234129295284,1.0,0.5,101.0
3.0,0.15,0.49349640846437587,1.0,0.5,101.0
3.5,0.15,0.48306154144826247,1.0,0.5,101.0
4.0,0.15,0.4417103475053388,1.0,0.5,101.0
4.5,0.15,0.4343041138023837,0.9901960784313726,0.4975369458128079,102.0
5.0,0.15,0.3842854449472097,0.9711538461538461,0.4926829268292683,104.0
5.5,0.15,0.31829104190695884,0.9901960784313726,0.4975369458128079,102.0
1.0,0.16,0.49213744903902157,1.0,0.5,101.0
1.5,0.16,0.4996117258784702,1.0,0.5,101.0
2.0,0.16,0.48985633857503397,1.0,0.5,101.0
2.5,0.16,0.4789361289070084,1.0,0.5,101.0
3.0,0.16,0.4693263443991458,1.0,0.5,101.0
3.5,0.16,0.4420986216268686,1.0,0.5,101.0
4.0,0.16,0.40870704717530576,1.0,0.5,101.0
4.5,0.16,0.3709150326797386,0.9901960784313726,0.4975369458128079,102.0
5.0,0.16,0.27003205128205127,0.9711538461538461,0.4926829268292683,104.0
5.5,0.16,0.21101774042950514,0.9619047619047619,0.49029126213592233,105.0
1 SNR gamma BER FER DFR num_iterations
2 1.0 0.0 0.13041157056882158 1.0 0.5 101.0
3 1.5 0.0 0.11803533294505922 1.0 0.5 101.0
4 2.0 0.0 0.10337798485730926 1.0 0.5 101.0
5 2.5 0.0 0.09109881576392934 1.0 0.5 101.0
6 3.0 0.0 0.0828965249466123 1.0 0.5 101.0
7 3.5 0.0 0.0648417782954766 1.0 0.5 101.0
8 4.0 0.0 0.05547466511357018 1.0 0.5 101.0
9 4.5 0.0 0.04615608619685498 1.0 0.5 101.0
10 5.0 0.0 0.03751698699281693 1.0 0.5 101.0
11 5.5 0.0 0.028745478774033887 0.9805825242718447 0.4950980392156863 103.0
12 1.0 0.01 0.12682003494467095 1.0 0.5 101.0
13 1.5 0.01 0.10303824500097068 1.0 0.5 101.0
14 2.0 0.01 0.0895202741290691 0.9805825242718447 0.4950980392156863 103.0
15 2.5 0.01 0.06111710739341608 0.926605504587156 0.48095238095238096 109.0
16 3.0 0.01 0.042294603791929994 0.8347107438016529 0.45495495495495497 121.0
17 3.5 0.01 0.0196078431372549 0.5804597701149425 0.36727272727272725 174.0
18 4.0 0.01 0.008482389821132214 0.3166144200626959 0.24047619047619048 319.0
19 4.5 0.01 0.0031009641425631027 0.13950276243093923 0.12242424242424242 724.0
20 5.0 0.01 0.000809970597599116 0.04823304680038205 0.04601366742596811 2094.0
21 5.5 0.01 0.00016017610218320026 0.011786672890652352 0.011649365628604382 8569.0
22 1.0 0.02 0.12759658318773054 1.0 0.5 101.0
23 1.5 0.02 0.10368814192343605 0.9619047619047619 0.49029126213592233 105.0
24 2.0 0.02 0.09073083778966132 0.9181818181818182 0.4786729857819905 110.0
25 2.5 0.02 0.05997927626335087 0.8211382113821138 0.45089285714285715 123.0
26 3.0 0.02 0.038327205882352944 0.63125 0.38697318007662834 160.0
27 3.5 0.02 0.016095037363479593 0.3289902280130293 0.24754901960784315 307.0
28 4.0 0.02 0.005628976994615761 0.14831130690161526 0.12915601023017903 681.0
29 4.5 0.02 0.001486085989181294 0.04374187960155912 0.041908713692946055 2309.0
30 5.0 0.02 0.0003706720496747766 0.012161348585189646 0.012015227218653344 8305.0
31 5.5 0.02 4.3831770108026713e-05 0.0016662542275014435 0.0016634824428486724 60615.0
32 1.0 0.03 0.12842166569598137 1.0 0.5 101.0
33 1.5 0.03 0.10506221719457014 0.9711538461538461 0.4926829268292683 104.0
34 2.0 0.03 0.09215686274509804 0.9181818181818182 0.4786729857819905 110.0
35 2.5 0.03 0.059200603318250375 0.7769230769230769 0.43722943722943725 130.0
36 3.0 0.03 0.039246133235903057 0.6273291925465838 0.38549618320610685 161.0
37 3.5 0.03 0.01752055660974067 0.3258064516129032 0.24574209245742093 310.0
38 4.0 0.03 0.006353001323228678 0.1549079754601227 0.1341301460823373 652.0
39 4.5 0.03 0.0015639997257644316 0.04414335664335664 0.04227710339053997 2288.0
40 5.0 0.03 0.00041049690434868236 0.012680477087256748 0.01252169600793454 7965.0
41 5.5 0.03 4.623396973812682e-05 0.001707176904093844 0.0017042674181192313 59162.0
42 1.0 0.04 0.13046010483401282 1.0 0.5 101.0
43 1.5 0.04 0.10644257703081232 0.9619047619047619 0.49029126213592233 105.0
44 2.0 0.04 0.09255793226381462 0.9181818181818182 0.4786729857819905 110.0
45 2.5 0.04 0.061659374493599095 0.8347107438016529 0.45495495495495497 121.0
46 3.0 0.04 0.037362505978000955 0.6158536585365854 0.38113207547169814 164.0
47 3.5 0.04 0.017938334754191532 0.36594202898550726 0.26790450928381965 276.0
48 4.0 0.04 0.006777361022169365 0.15707620528771385 0.135752688172043 643.0
49 4.5 0.04 0.001880984952120383 0.05872093023255814 0.05546403075233388 1720.0
50 5.0 0.04 0.00047726234453046763 0.015584014812528931 0.01534487997569128 6481.0
51 5.5 0.04 5.9633434663944794e-05 0.002381176914371935 0.0023755203800832608 42416.0
52 1.0 0.05 0.13012036497767424 1.0 0.5 101.0
53 1.5 0.05 0.10630252100840336 0.9619047619047619 0.49029126213592233 105.0
54 2.0 0.05 0.09390178089584458 0.926605504587156 0.48095238095238096 109.0
55 2.5 0.05 0.060058669136946116 0.7952755905511811 0.44298245614035087 127.0
56 3.0 0.05 0.03856825749167592 0.6352201257861635 0.38846153846153847 159.0
57 3.5 0.05 0.020580454403983817 0.4007936507936508 0.28611898016997167 252.0
58 4.0 0.05 0.008242486183662655 0.19498069498069498 0.1631663974151858 518.0
59 4.5 0.05 0.0024946180252516438 0.07492581602373888 0.06970324361628709 1348.0
60 5.0 0.05 0.0006870391739773196 0.023871425194989363 0.023314866112650046 4231.0
61 5.5 0.05 0.0001187199352756501 0.005033138984402253 0.005007933359777866 20067.0
62 1.0 0.06 0.13963308095515434 1.0 0.5 101.0
63 1.5 0.06 0.12782805429864252 0.9711538461538461 0.4926829268292683 104.0
64 2.0 0.06 0.11363211951447245 0.9619047619047619 0.49029126213592233 105.0
65 2.5 0.06 0.093968837535014 0.9017857142857143 0.47417840375586856 112.0
66 3.0 0.06 0.08508986928104575 0.8416666666666667 0.45701357466063347 120.0
67 3.5 0.06 0.07619485294117648 0.63125 0.38697318007662834 160.0
68 4.0 0.06 0.06640495181123297 0.4279661016949153 0.2997032640949555 236.0
69 4.5 0.06 0.04242399206873761 0.28370786516853935 0.2210065645514223 356.0
70 5.0 0.06 0.025403188216649577 0.1600633914421553 0.13797814207650272 631.0
71 5.5 0.06 0.018433179723502304 0.09308755760368663 0.0851602023608769 1085.0
72 1.0 0.07 0.20889147738303243 1.0 0.5 101.0
73 1.5 0.07 0.19986410405746458 1.0 0.5 101.0
74 2.0 0.07 0.19626879878164857 0.9805825242718447 0.4950980392156863 103.0
75 2.5 0.07 0.19612648981161093 0.9901960784313726 0.4975369458128079 102.0
76 3.0 0.07 0.1917420814479638 0.9711538461538461 0.4926829268292683 104.0
77 3.5 0.07 0.1957720588235294 0.9017857142857143 0.47417840375586856 112.0
78 4.0 0.07 0.14399509803921567 0.6644736842105263 0.39920948616600793 152.0
79 4.5 0.07 0.13647504456327986 0.5738636363636364 0.36462093862815886 176.0
80 5.0 0.07 0.12161634565330556 0.4469026548672566 0.308868501529052 226.0
81 5.5 0.07 0.07485094351220112 0.3166144200626959 0.24047619047619048 319.0
82 1.0 0.08 0.2632013201320132 1.0 0.5 101.0
83 1.5 0.08 0.26635604736944285 1.0 0.5 101.0
84 2.0 0.08 0.25413302575932334 0.9901960784313726 0.4975369458128079 102.0
85 2.5 0.08 0.27674238012036495 1.0 0.5 101.0
86 3.0 0.08 0.26018838908112263 0.9901960784313726 0.4975369458128079 102.0
87 3.5 0.08 0.24689250700280113 0.9017857142857143 0.47417840375586856 112.0
88 4.0 0.08 0.2452281797674822 0.8938053097345132 0.4719626168224299 113.0
89 4.5 0.08 0.2685277500830841 0.8559322033898306 0.4611872146118721 118.0
90 5.0 0.08 0.1766712532966403 0.5906432748538012 0.3713235294117647 171.0
91 5.5 0.08 0.1536550103912533 0.46543778801843316 0.31761006289308175 217.0
92 1.0 0.09 0.3060085420306737 1.0 0.5 101.0
93 1.5 0.09 0.30348476024072996 1.0 0.5 101.0
94 2.0 0.09 0.30401863715783345 1.0 0.5 101.0
95 2.5 0.09 0.3125121335662978 1.0 0.5 101.0
96 3.0 0.09 0.3019511726259131 0.9901960784313726 0.4975369458128079 102.0
97 3.5 0.09 0.31381975867269984 0.9711538461538461 0.4926829268292683 104.0
98 4.0 0.09 0.2743748875697068 0.926605504587156 0.48095238095238096 109.0
99 4.5 0.09 0.26221599751011515 0.8015873015873016 0.44493392070484583 126.0
100 5.0 0.09 0.2593759726112667 0.8015873015873016 0.44493392070484583 126.0
101 5.5 0.09 0.25 0.7426470588235294 0.42616033755274263 136.0
102 1.0 0.1 0.3504659289458358 1.0 0.5 101.0
103 1.5 0.1 0.34017666472529606 1.0 0.5 101.0
104 2.0 0.1 0.3299359347699476 1.0 0.5 101.0
105 2.5 0.1 0.35085420306736553 1.0 0.5 101.0
106 3.0 0.1 0.3425548437196661 1.0 0.5 101.0
107 3.5 0.1 0.3208427601809955 0.9711538461538461 0.4926829268292683 104.0
108 4.0 0.1 0.3398378582202112 0.9711538461538461 0.4926829268292683 104.0
109 4.5 0.1 0.2778876256384907 0.8487394957983193 0.4590909090909091 119.0
110 5.0 0.1 0.2815638450502152 0.8211382113821138 0.45089285714285715 123.0
111 5.5 0.1 0.23818592185075468 0.7266187050359713 0.42083333333333334 139.0
112 1.0 0.11 0.36633663366336633 1.0 0.5 101.0
113 1.5 0.11 0.35774606872451953 1.0 0.5 101.0
114 2.0 0.11 0.3492040380508639 1.0 0.5 101.0
115 2.5 0.11 0.36740438749757326 1.0 0.5 101.0
116 3.0 0.11 0.3654144826247331 1.0 0.5 101.0
117 3.5 0.11 0.35391186177441275 1.0 0.5 101.0
118 4.0 0.11 0.36538461538461536 0.9711538461538461 0.4926829268292683 104.0
119 4.5 0.11 0.34916351861845657 0.926605504587156 0.48095238095238096 109.0
120 5.0 0.11 0.3227124183006536 0.8859649122807017 0.4697674418604651 114.0
121 5.5 0.11 0.34650468883205454 0.8782608695652174 0.4675925925925926 115.0
122 1.0 0.12 0.40166957872257814 1.0 0.5 101.0
123 1.5 0.12 0.37919821393904096 1.0 0.5 101.0
124 2.0 0.12 0.3928363424577752 1.0 0.5 101.0
125 2.5 0.12 0.38827412152980006 1.0 0.5 101.0
126 3.0 0.12 0.38211026985051444 1.0 0.5 101.0
127 3.5 0.12 0.42176276451174527 1.0 0.5 101.0
128 4.0 0.12 0.38475586312956556 0.9901960784313726 0.4975369458128079 102.0
129 4.5 0.12 0.3806542418947777 1.0 0.5 101.0
130 5.0 0.12 0.41387927720107653 0.9901960784313726 0.4975369458128079 102.0
131 5.5 0.12 0.4516217702034085 0.9439252336448598 0.4855769230769231 107.0
132 1.0 0.13 0.4370995923121724 1.0 0.5 101.0
133 1.5 0.13 0.45971655989128324 1.0 0.5 101.0
134 2.0 0.13 0.45520287322849934 1.0 0.5 101.0
135 2.5 0.13 0.4187051058046981 1.0 0.5 101.0
136 3.0 0.13 0.4418074160357212 1.0 0.5 101.0
137 3.5 0.13 0.4629198213939041 1.0 0.5 101.0
138 4.0 0.13 0.4772859638905067 1.0 0.5 101.0
139 4.5 0.13 0.4520750047591852 0.9805825242718447 0.4950980392156863 103.0
140 5.0 0.13 0.4471577621874438 0.926605504587156 0.48095238095238096 109.0
141 5.5 0.13 0.4532952069716776 0.9351851851851852 0.48325358851674644 108.0
142 1.0 0.14 0.49155503785672683 1.0 0.5 101.0
143 1.5 0.14 0.4717045233935158 1.0 0.5 101.0
144 2.0 0.14 0.47316055134925256 1.0 0.5 101.0
145 2.5 0.14 0.48786643370219374 1.0 0.5 101.0
146 3.0 0.14 0.4816055134925257 1.0 0.5 101.0
147 3.5 0.14 0.4835468841001747 1.0 0.5 101.0
148 4.0 0.14 0.4920889147738303 1.0 0.5 101.0
149 4.5 0.14 0.48755286428296807 0.9901960784313726 0.4975369458128079 102.0
150 5.0 0.14 0.4675124951941561 0.9901960784313726 0.4975369458128079 102.0
151 5.5 0.14 0.44789915966386556 0.9619047619047619 0.49029126213592233 105.0
152 1.0 0.15 0.484469035138808 1.0 0.5 101.0
153 1.5 0.15 0.503445932828577 1.0 0.5 101.0
154 2.0 0.15 0.4925257231605514 1.0 0.5 101.0
155 2.5 0.15 0.49694234129295284 1.0 0.5 101.0
156 3.0 0.15 0.49349640846437587 1.0 0.5 101.0
157 3.5 0.15 0.48306154144826247 1.0 0.5 101.0
158 4.0 0.15 0.4417103475053388 1.0 0.5 101.0
159 4.5 0.15 0.4343041138023837 0.9901960784313726 0.4975369458128079 102.0
160 5.0 0.15 0.3842854449472097 0.9711538461538461 0.4926829268292683 104.0
161 5.5 0.15 0.31829104190695884 0.9901960784313726 0.4975369458128079 102.0
162 1.0 0.16 0.49213744903902157 1.0 0.5 101.0
163 1.5 0.16 0.4996117258784702 1.0 0.5 101.0
164 2.0 0.16 0.48985633857503397 1.0 0.5 101.0
165 2.5 0.16 0.4789361289070084 1.0 0.5 101.0
166 3.0 0.16 0.4693263443991458 1.0 0.5 101.0
167 3.5 0.16 0.4420986216268686 1.0 0.5 101.0
168 4.0 0.16 0.40870704717530576 1.0 0.5 101.0
169 4.5 0.16 0.3709150326797386 0.9901960784313726 0.4975369458128079 102.0
170 5.0 0.16 0.27003205128205127 0.9711538461538461 0.4926829268292683 104.0
171 5.5 0.16 0.21101774042950514 0.9619047619047619 0.49029126213592233 105.0

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@@ -0,0 +1,8 @@
{
"duration": 198.41980844998034,
"name": "2d_BER_FER_DFR_20455187",
"platform": "Linux-6.1.6-arch1-3-x86_64-with-glibc2.36",
"omega": 0.05,
"K": 200,
"end_time": "2023-01-23 22:13:26.097517"
}

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@@ -0,0 +1,171 @@
SNR,gamma,BER,FER,DFR,num_iterations
1.0,0.0,0.1327412152980004,1.0,0.5,101.0
1.5,0.0,0.12002523781789944,1.0,0.5,101.0
2.0,0.0,0.10524655406717143,1.0,0.5,101.0
2.5,0.0,0.09148708988545913,1.0,0.5,101.0
3.0,0.0,0.07806736556008542,1.0,0.5,101.0
3.5,0.0,0.06503591535624151,1.0,0.5,101.0
4.0,0.0,0.05629974762182101,1.0,0.5,101.0
4.5,0.0,0.04416618132401475,1.0,0.5,101.0
5.0,0.0,0.03792952824694234,1.0,0.5,101.0
5.5,0.0,0.03026111434672879,1.0,0.5,101.0
1.0,0.01,0.09954377790720248,1.0,0.5,101.0
1.5,0.01,0.07544651523975927,1.0,0.5,101.0
2.0,0.01,0.05896913220733838,1.0,0.5,101.0
2.5,0.01,0.03996796738497379,1.0,0.5,101.0
3.0,0.01,0.025080906148867314,0.9805825242718447,0.4950980392156863,103.0
3.5,0.01,0.016302392516639685,0.926605504587156,0.48095238095238096,109.0
4.0,0.01,0.00897406206577119,0.7952755905511811,0.44298245614035087,127.0
4.5,0.01,0.0034208870714061024,0.5401069518716578,0.3506944444444444,187.0
5.0,0.01,0.0016993464052287581,0.33666666666666667,0.2518703241895262,300.0
5.5,0.01,0.0007873385288779759,0.18330308529945555,0.1549079754601227,551.0
1.0,0.02,0.09811201708406135,1.0,0.5,101.0
1.5,0.02,0.07202484954377791,1.0,0.5,101.0
2.0,0.02,0.05518345952242283,1.0,0.5,101.0
2.5,0.02,0.03207282913165266,0.9619047619047619,0.49029126213592233,105.0
3.0,0.02,0.017694882831181254,0.8211382113821138,0.45089285714285715,123.0
3.5,0.02,0.009183611716291454,0.6234567901234568,0.3840304182509506,162.0
4.0,0.02,0.0037088420273769887,0.38113207547169814,0.27595628415300544,265.0
4.5,0.02,0.0014432168806608938,0.17089678510998307,0.14595375722543352,591.0
5.0,0.02,0.00044169611307420494,0.059481743227326266,0.05614230127848805,1698.0
5.5,0.02,0.00012734797835084368,0.019293218720152817,0.018928035982008994,5235.0
1.0,0.03,0.09905843525529023,1.0,0.5,101.0
1.5,0.03,0.07076295864880605,1.0,0.5,101.0
2.0,0.03,0.05387303436225976,1.0,0.5,101.0
2.5,0.03,0.02882090336134454,0.9017857142857143,0.47417840375586856,112.0
3.0,0.03,0.014161220043572984,0.6601307189542484,0.39763779527559057,153.0
3.5,0.03,0.006363949088407293,0.44298245614035087,0.3069908814589666,228.0
4.0,0.03,0.0021808322527407755,0.20240480961923848,0.16833333333333333,499.0
4.5,0.03,0.0008810872909243142,0.1002979145978153,0.09115523465703972,1007.0
5.0,0.03,0.0002742744843639694,0.03276029841063899,0.03172110552763819,3083.0
5.5,0.03,8.158493387659922e-05,0.01088010341484434,0.01076300085251492,9283.0
1.0,0.04,0.10039312754804892,1.0,0.5,101.0
1.5,0.04,0.07076295864880605,1.0,0.5,101.0
2.0,0.04,0.051965497737556564,0.9711538461538461,0.4926829268292683,104.0
2.5,0.04,0.026656943769243234,0.8347107438016529,0.45495495495495497,121.0
3.0,0.04,0.013190730837789662,0.6121212121212121,0.37969924812030076,165.0
3.5,0.04,0.005154908938664434,0.3594306049822064,0.2643979057591623,281.0
4.0,0.04,0.0018190870098039216,0.1578125,0.13630229419703105,640.0
4.5,0.04,0.0007194064807277609,0.07356154406409322,0.06852103120759837,1373.0
5.0,0.04,0.0002228774281555953,0.02766365379348124,0.026918976545842216,3651.0
5.5,0.04,7.447663891990073e-05,0.00993214672042482,0.009834469328140215,10169.0
1.0,0.05,0.10167928557561638,1.0,0.5,101.0
1.5,0.05,0.07151523975927004,1.0,0.5,101.0
2.0,0.05,0.05165556788753237,0.9528301886792453,0.48792270531400966,106.0
2.5,0.05,0.0284432321315623,0.8145161290322581,0.4488888888888889,124.0
3.0,0.05,0.012762501450284255,0.5976331360946746,0.37407407407407406,169.0
3.5,0.05,0.004894130176032074,0.3226837060702875,0.24396135265700483,313.0
4.0,0.05,0.0016947171575502572,0.14165497896213183,0.12407862407862408,713.0
4.5,0.05,0.0006147052551026808,0.06461932181701856,0.060697115384615384,1563.0
5.0,0.05,0.00019840704095501507,0.02447891420261755,0.023894014667612963,4126.0
5.5,0.05,7.173370936898876e-05,0.00972369307788582,0.009630053394355454,10387.0
1.0,0.06,0.10252863521646283,1.0,0.5,101.0
1.5,0.06,0.07224325373713841,1.0,0.5,101.0
2.0,0.06,0.04353715170278638,0.8859649122807017,0.4697674418604651,114.0
2.5,0.06,0.028862745098039214,0.808,0.4469026548672566,125.0
3.0,0.06,0.012603128683167255,0.5519125683060109,0.35563380281690143,183.0
3.5,0.06,0.004949552636588616,0.3268608414239482,0.24634146341463414,309.0
4.0,0.06,0.001551538046411225,0.13237221494102228,0.11689814814814815,763.0
4.5,0.06,0.0006391740505093875,0.06702057067020571,0.06281094527363185,1507.0
5.0,0.06,0.00020591230382173236,0.02571283095723014,0.02506825515016133,3928.0
5.5,0.06,8.264995289216742e-05,0.01088127558715794,0.010764147927102206,9282.0
1.0,0.07,0.10408173170258202,1.0,0.5,101.0
1.5,0.07,0.06858120606733259,0.9528301886792453,0.48792270531400966,106.0
2.0,0.07,0.042735042735042736,0.8632478632478633,0.463302752293578,117.0
2.5,0.07,0.02873629766867377,0.7952755905511811,0.44298245614035087,127.0
3.0,0.07,0.013418079096045197,0.5706214689265536,0.36330935251798563,177.0
3.5,0.07,0.0048166418466120626,0.31962025316455694,0.2422062350119904,316.0
4.0,0.07,0.0017955261763311298,0.14366998577524892,0.1256218905472637,703.0
4.5,0.07,0.0006143042458713765,0.06424936386768448,0.06037059175134489,1572.0
5.0,0.07,0.00020633253301320528,0.02576530612244898,0.02511812981845312,3920.0
5.5,0.07,7.564137897978503e-05,0.010287227541250764,0.01018247807238633,9818.0
1.0,0.08,0.09738400310619297,1.0,0.5,101.0
1.5,0.08,0.06936736958934517,0.9528301886792453,0.48792270531400966,106.0
2.0,0.08,0.043842968221771465,0.8706896551724138,0.46543778801843316,116.0
2.5,0.08,0.029508259996912152,0.7952755905511811,0.44298245614035087,127.0
3.0,0.08,0.01276152919268266,0.5642458100558659,0.3607142857142857,179.0
3.5,0.08,0.0051383897610491145,0.3247588424437299,0.24514563106796117,311.0
4.0,0.08,0.0018155410312273058,0.14387464387464388,0.12577833125778332,702.0
4.5,0.08,0.0006484158993480963,0.06532988357050452,0.06132361870066788,1546.0
5.0,0.08,0.00023576161075556558,0.027678816114003836,0.026933333333333333,3649.0
5.5,0.08,7.741265230371984e-05,0.010390946502057612,0.01028408512371449,9720.0
1.0,0.09,0.09808774995146574,1.0,0.5,101.0
1.5,0.09,0.07047724750277469,0.9528301886792453,0.48792270531400966,106.0
2.0,0.09,0.04428815004262575,0.8782608695652174,0.4675925925925926,115.0
2.5,0.09,0.0311453849832616,0.8211382113821138,0.45089285714285715,123.0
3.0,0.09,0.013280893752849977,0.5872093023255814,0.36996336996337,172.0
3.5,0.09,0.00498517308157831,0.3117283950617284,0.2376470588235294,324.0
4.0,0.09,0.0018756808278867102,0.14027777777777778,0.12302070645554203,720.0
4.5,0.09,0.0007000367902546703,0.07018763029881862,0.06558441558441558,1439.0
5.0,0.09,0.00022185312925494433,0.027289921642799243,0.026564965807469754,3701.0
5.5,0.09,7.948846591390057e-05,0.010634937348636412,0.010523025630339654,9497.0
1.0,0.1,0.0993739079790332,1.0,0.5,101.0
1.5,0.1,0.0714829621168856,0.9805825242718447,0.4950980392156863,103.0
2.0,0.1,0.044159905341446926,0.8706896551724138,0.46543778801843316,116.0
2.5,0.1,0.03134167052647831,0.7952755905511811,0.44298245614035087,127.0
3.0,0.1,0.012507992327365729,0.5489130434782609,0.3543859649122807,184.0
3.5,0.1,0.004879543280726925,0.3079268292682927,0.23543123543123542,328.0
4.0,0.1,0.001969979911156382,0.14574314574314573,0.12720403022670027,693.0
4.5,0.1,0.0006428801028608164,0.06368221941992434,0.05986959098992294,1586.0
5.0,0.1,0.00026748252878467575,0.033300362677217275,0.032227185705169116,3033.0
5.5,0.1,8.931155488025469e-05,0.011646678966789668,0.01151259546335347,8672.0
1.0,0.11,0.10090273733255678,1.0,0.5,101.0
1.5,0.11,0.07425999245852187,0.9711538461538461,0.4926829268292683,104.0
2.0,0.11,0.047407120743034055,0.8859649122807017,0.4697674418604651,114.0
2.5,0.11,0.032392156862745096,0.808,0.4469026548672566,125.0
3.0,0.11,0.01542016806722689,0.5771428571428572,0.36594202898550726,175.0
3.5,0.11,0.005979753464903877,0.3289902280130293,0.24754901960784315,307.0
4.0,0.11,0.002810983548348917,0.20321931589537223,0.1688963210702341,497.0
4.5,0.11,0.0009884699760216316,0.08759757155247182,0.08054226475279107,1153.0
5.0,0.11,0.00030246450404546277,0.029961435775734204,0.029089861751152073,3371.0
5.5,0.11,0.00011746755783627398,0.013597199784598816,0.013414796121662903,7428.0
1.0,0.12,0.11767132595612502,1.0,0.5,101.0
1.5,0.12,0.08668219763152786,1.0,0.5,101.0
2.0,0.12,0.06310160427807486,0.9181818181818182,0.4786729857819905,110.0
2.5,0.12,0.04702949555890732,0.8632478632478633,0.463302752293578,117.0
3.0,0.12,0.030303030303030304,0.7062937062937062,0.4139344262295082,143.0
3.5,0.12,0.018493761140819964,0.5401069518716578,0.3506944444444444,187.0
4.0,0.12,0.009836492736629536,0.33554817275747506,0.2512437810945274,301.0
4.5,0.12,0.005295641572691252,0.17443868739205526,0.14852941176470588,579.0
5.0,0.12,0.003074199765376236,0.10790598290598291,0.09739633558341369,936.0
5.5,0.12,0.0016318163822383364,0.0536663124335813,0.050932929904185575,1882.0
1.0,0.13,0.18137254901960784,1.0,0.5,101.0
1.5,0.13,0.16142496602601436,1.0,0.5,101.0
2.0,0.13,0.13886485966935794,0.9901960784313726,0.4975369458128079,102.0
2.5,0.13,0.13096971461852067,1.0,0.5,101.0
3.0,0.13,0.11723856209150327,0.9901960784313726,0.4975369458128079,102.0
3.5,0.13,0.10651056539120503,0.9805825242718447,0.4950980392156863,103.0
4.0,0.13,0.10336538461538461,0.9711538461538461,0.4926829268292683,104.0
4.5,0.13,0.10147058823529412,0.9181818181818182,0.4786729857819905,110.0
5.0,0.13,0.08615505025539627,0.8487394957983193,0.4590909090909091,119.0
5.5,0.13,0.09505347593582887,0.9181818181818182,0.4786729857819905,110.0
1.0,0.14,0.2747524752475248,1.0,0.5,101.0
1.5,0.14,0.26174529217627646,1.0,0.5,101.0
2.0,0.14,0.25575131042516014,1.0,0.5,101.0
2.5,0.14,0.24847117064647642,1.0,0.5,101.0
3.0,0.14,0.24291399728208116,1.0,0.5,101.0
3.5,0.14,0.2360221316249272,1.0,0.5,101.0
4.0,0.14,0.23315860997864493,1.0,0.5,101.0
4.5,0.14,0.22270280661284123,0.9901960784313726,0.4975369458128079,102.0
5.0,0.14,0.22541739468064453,1.0,0.5,101.0
5.5,0.14,0.22677517608985343,0.9805825242718447,0.4950980392156863,103.0
1.0,0.15,0.34425354300135896,1.0,0.5,101.0
1.5,0.15,0.3462677150067948,1.0,0.5,101.0
2.0,0.15,0.33083381867598527,1.0,0.5,101.0
2.5,0.15,0.3319258396427878,1.0,0.5,101.0
3.0,0.15,0.32052028732284993,1.0,0.5,101.0
3.5,0.15,0.319889341875364,1.0,0.5,101.0
4.0,0.15,0.32469423412929527,1.0,0.5,101.0
4.5,0.15,0.31624927198602215,1.0,0.5,101.0
5.0,0.15,0.326465734808775,1.0,0.5,101.0
5.5,0.15,0.32002114571318724,0.9901960784313726,0.4975369458128079,102.0
1.0,0.16,0.4066928751698699,1.0,0.5,101.0
1.5,0.16,0.400237817899437,1.0,0.5,101.0
2.0,0.16,0.3921083284799068,1.0,0.5,101.0
2.5,0.16,0.3986847214133178,1.0,0.5,101.0
3.0,0.16,0.3947777130654242,1.0,0.5,101.0
3.5,0.16,0.39315181518151815,1.0,0.5,101.0
4.0,0.16,0.3928606095903708,1.0,0.5,101.0
4.5,0.16,0.3902397592700447,1.0,0.5,101.0
5.0,0.16,0.3845855173752669,1.0,0.5,101.0
5.5,0.16,0.39101630751310423,1.0,0.5,101.0
1 SNR gamma BER FER DFR num_iterations
2 1.0 0.0 0.1327412152980004 1.0 0.5 101.0
3 1.5 0.0 0.12002523781789944 1.0 0.5 101.0
4 2.0 0.0 0.10524655406717143 1.0 0.5 101.0
5 2.5 0.0 0.09148708988545913 1.0 0.5 101.0
6 3.0 0.0 0.07806736556008542 1.0 0.5 101.0
7 3.5 0.0 0.06503591535624151 1.0 0.5 101.0
8 4.0 0.0 0.05629974762182101 1.0 0.5 101.0
9 4.5 0.0 0.04416618132401475 1.0 0.5 101.0
10 5.0 0.0 0.03792952824694234 1.0 0.5 101.0
11 5.5 0.0 0.03026111434672879 1.0 0.5 101.0
12 1.0 0.01 0.09954377790720248 1.0 0.5 101.0
13 1.5 0.01 0.07544651523975927 1.0 0.5 101.0
14 2.0 0.01 0.05896913220733838 1.0 0.5 101.0
15 2.5 0.01 0.03996796738497379 1.0 0.5 101.0
16 3.0 0.01 0.025080906148867314 0.9805825242718447 0.4950980392156863 103.0
17 3.5 0.01 0.016302392516639685 0.926605504587156 0.48095238095238096 109.0
18 4.0 0.01 0.00897406206577119 0.7952755905511811 0.44298245614035087 127.0
19 4.5 0.01 0.0034208870714061024 0.5401069518716578 0.3506944444444444 187.0
20 5.0 0.01 0.0016993464052287581 0.33666666666666667 0.2518703241895262 300.0
21 5.5 0.01 0.0007873385288779759 0.18330308529945555 0.1549079754601227 551.0
22 1.0 0.02 0.09811201708406135 1.0 0.5 101.0
23 1.5 0.02 0.07202484954377791 1.0 0.5 101.0
24 2.0 0.02 0.05518345952242283 1.0 0.5 101.0
25 2.5 0.02 0.03207282913165266 0.9619047619047619 0.49029126213592233 105.0
26 3.0 0.02 0.017694882831181254 0.8211382113821138 0.45089285714285715 123.0
27 3.5 0.02 0.009183611716291454 0.6234567901234568 0.3840304182509506 162.0
28 4.0 0.02 0.0037088420273769887 0.38113207547169814 0.27595628415300544 265.0
29 4.5 0.02 0.0014432168806608938 0.17089678510998307 0.14595375722543352 591.0
30 5.0 0.02 0.00044169611307420494 0.059481743227326266 0.05614230127848805 1698.0
31 5.5 0.02 0.00012734797835084368 0.019293218720152817 0.018928035982008994 5235.0
32 1.0 0.03 0.09905843525529023 1.0 0.5 101.0
33 1.5 0.03 0.07076295864880605 1.0 0.5 101.0
34 2.0 0.03 0.05387303436225976 1.0 0.5 101.0
35 2.5 0.03 0.02882090336134454 0.9017857142857143 0.47417840375586856 112.0
36 3.0 0.03 0.014161220043572984 0.6601307189542484 0.39763779527559057 153.0
37 3.5 0.03 0.006363949088407293 0.44298245614035087 0.3069908814589666 228.0
38 4.0 0.03 0.0021808322527407755 0.20240480961923848 0.16833333333333333 499.0
39 4.5 0.03 0.0008810872909243142 0.1002979145978153 0.09115523465703972 1007.0
40 5.0 0.03 0.0002742744843639694 0.03276029841063899 0.03172110552763819 3083.0
41 5.5 0.03 8.158493387659922e-05 0.01088010341484434 0.01076300085251492 9283.0
42 1.0 0.04 0.10039312754804892 1.0 0.5 101.0
43 1.5 0.04 0.07076295864880605 1.0 0.5 101.0
44 2.0 0.04 0.051965497737556564 0.9711538461538461 0.4926829268292683 104.0
45 2.5 0.04 0.026656943769243234 0.8347107438016529 0.45495495495495497 121.0
46 3.0 0.04 0.013190730837789662 0.6121212121212121 0.37969924812030076 165.0
47 3.5 0.04 0.005154908938664434 0.3594306049822064 0.2643979057591623 281.0
48 4.0 0.04 0.0018190870098039216 0.1578125 0.13630229419703105 640.0
49 4.5 0.04 0.0007194064807277609 0.07356154406409322 0.06852103120759837 1373.0
50 5.0 0.04 0.0002228774281555953 0.02766365379348124 0.026918976545842216 3651.0
51 5.5 0.04 7.447663891990073e-05 0.00993214672042482 0.009834469328140215 10169.0
52 1.0 0.05 0.10167928557561638 1.0 0.5 101.0
53 1.5 0.05 0.07151523975927004 1.0 0.5 101.0
54 2.0 0.05 0.05165556788753237 0.9528301886792453 0.48792270531400966 106.0
55 2.5 0.05 0.0284432321315623 0.8145161290322581 0.4488888888888889 124.0
56 3.0 0.05 0.012762501450284255 0.5976331360946746 0.37407407407407406 169.0
57 3.5 0.05 0.004894130176032074 0.3226837060702875 0.24396135265700483 313.0
58 4.0 0.05 0.0016947171575502572 0.14165497896213183 0.12407862407862408 713.0
59 4.5 0.05 0.0006147052551026808 0.06461932181701856 0.060697115384615384 1563.0
60 5.0 0.05 0.00019840704095501507 0.02447891420261755 0.023894014667612963 4126.0
61 5.5 0.05 7.173370936898876e-05 0.00972369307788582 0.009630053394355454 10387.0
62 1.0 0.06 0.10252863521646283 1.0 0.5 101.0
63 1.5 0.06 0.07224325373713841 1.0 0.5 101.0
64 2.0 0.06 0.04353715170278638 0.8859649122807017 0.4697674418604651 114.0
65 2.5 0.06 0.028862745098039214 0.808 0.4469026548672566 125.0
66 3.0 0.06 0.012603128683167255 0.5519125683060109 0.35563380281690143 183.0
67 3.5 0.06 0.004949552636588616 0.3268608414239482 0.24634146341463414 309.0
68 4.0 0.06 0.001551538046411225 0.13237221494102228 0.11689814814814815 763.0
69 4.5 0.06 0.0006391740505093875 0.06702057067020571 0.06281094527363185 1507.0
70 5.0 0.06 0.00020591230382173236 0.02571283095723014 0.02506825515016133 3928.0
71 5.5 0.06 8.264995289216742e-05 0.01088127558715794 0.010764147927102206 9282.0
72 1.0 0.07 0.10408173170258202 1.0 0.5 101.0
73 1.5 0.07 0.06858120606733259 0.9528301886792453 0.48792270531400966 106.0
74 2.0 0.07 0.042735042735042736 0.8632478632478633 0.463302752293578 117.0
75 2.5 0.07 0.02873629766867377 0.7952755905511811 0.44298245614035087 127.0
76 3.0 0.07 0.013418079096045197 0.5706214689265536 0.36330935251798563 177.0
77 3.5 0.07 0.0048166418466120626 0.31962025316455694 0.2422062350119904 316.0
78 4.0 0.07 0.0017955261763311298 0.14366998577524892 0.1256218905472637 703.0
79 4.5 0.07 0.0006143042458713765 0.06424936386768448 0.06037059175134489 1572.0
80 5.0 0.07 0.00020633253301320528 0.02576530612244898 0.02511812981845312 3920.0
81 5.5 0.07 7.564137897978503e-05 0.010287227541250764 0.01018247807238633 9818.0
82 1.0 0.08 0.09738400310619297 1.0 0.5 101.0
83 1.5 0.08 0.06936736958934517 0.9528301886792453 0.48792270531400966 106.0
84 2.0 0.08 0.043842968221771465 0.8706896551724138 0.46543778801843316 116.0
85 2.5 0.08 0.029508259996912152 0.7952755905511811 0.44298245614035087 127.0
86 3.0 0.08 0.01276152919268266 0.5642458100558659 0.3607142857142857 179.0
87 3.5 0.08 0.0051383897610491145 0.3247588424437299 0.24514563106796117 311.0
88 4.0 0.08 0.0018155410312273058 0.14387464387464388 0.12577833125778332 702.0
89 4.5 0.08 0.0006484158993480963 0.06532988357050452 0.06132361870066788 1546.0
90 5.0 0.08 0.00023576161075556558 0.027678816114003836 0.026933333333333333 3649.0
91 5.5 0.08 7.741265230371984e-05 0.010390946502057612 0.01028408512371449 9720.0
92 1.0 0.09 0.09808774995146574 1.0 0.5 101.0
93 1.5 0.09 0.07047724750277469 0.9528301886792453 0.48792270531400966 106.0
94 2.0 0.09 0.04428815004262575 0.8782608695652174 0.4675925925925926 115.0
95 2.5 0.09 0.0311453849832616 0.8211382113821138 0.45089285714285715 123.0
96 3.0 0.09 0.013280893752849977 0.5872093023255814 0.36996336996337 172.0
97 3.5 0.09 0.00498517308157831 0.3117283950617284 0.2376470588235294 324.0
98 4.0 0.09 0.0018756808278867102 0.14027777777777778 0.12302070645554203 720.0
99 4.5 0.09 0.0007000367902546703 0.07018763029881862 0.06558441558441558 1439.0
100 5.0 0.09 0.00022185312925494433 0.027289921642799243 0.026564965807469754 3701.0
101 5.5 0.09 7.948846591390057e-05 0.010634937348636412 0.010523025630339654 9497.0
102 1.0 0.1 0.0993739079790332 1.0 0.5 101.0
103 1.5 0.1 0.0714829621168856 0.9805825242718447 0.4950980392156863 103.0
104 2.0 0.1 0.044159905341446926 0.8706896551724138 0.46543778801843316 116.0
105 2.5 0.1 0.03134167052647831 0.7952755905511811 0.44298245614035087 127.0
106 3.0 0.1 0.012507992327365729 0.5489130434782609 0.3543859649122807 184.0
107 3.5 0.1 0.004879543280726925 0.3079268292682927 0.23543123543123542 328.0
108 4.0 0.1 0.001969979911156382 0.14574314574314573 0.12720403022670027 693.0
109 4.5 0.1 0.0006428801028608164 0.06368221941992434 0.05986959098992294 1586.0
110 5.0 0.1 0.00026748252878467575 0.033300362677217275 0.032227185705169116 3033.0
111 5.5 0.1 8.931155488025469e-05 0.011646678966789668 0.01151259546335347 8672.0
112 1.0 0.11 0.10090273733255678 1.0 0.5 101.0
113 1.5 0.11 0.07425999245852187 0.9711538461538461 0.4926829268292683 104.0
114 2.0 0.11 0.047407120743034055 0.8859649122807017 0.4697674418604651 114.0
115 2.5 0.11 0.032392156862745096 0.808 0.4469026548672566 125.0
116 3.0 0.11 0.01542016806722689 0.5771428571428572 0.36594202898550726 175.0
117 3.5 0.11 0.005979753464903877 0.3289902280130293 0.24754901960784315 307.0
118 4.0 0.11 0.002810983548348917 0.20321931589537223 0.1688963210702341 497.0
119 4.5 0.11 0.0009884699760216316 0.08759757155247182 0.08054226475279107 1153.0
120 5.0 0.11 0.00030246450404546277 0.029961435775734204 0.029089861751152073 3371.0
121 5.5 0.11 0.00011746755783627398 0.013597199784598816 0.013414796121662903 7428.0
122 1.0 0.12 0.11767132595612502 1.0 0.5 101.0
123 1.5 0.12 0.08668219763152786 1.0 0.5 101.0
124 2.0 0.12 0.06310160427807486 0.9181818181818182 0.4786729857819905 110.0
125 2.5 0.12 0.04702949555890732 0.8632478632478633 0.463302752293578 117.0
126 3.0 0.12 0.030303030303030304 0.7062937062937062 0.4139344262295082 143.0
127 3.5 0.12 0.018493761140819964 0.5401069518716578 0.3506944444444444 187.0
128 4.0 0.12 0.009836492736629536 0.33554817275747506 0.2512437810945274 301.0
129 4.5 0.12 0.005295641572691252 0.17443868739205526 0.14852941176470588 579.0
130 5.0 0.12 0.003074199765376236 0.10790598290598291 0.09739633558341369 936.0
131 5.5 0.12 0.0016318163822383364 0.0536663124335813 0.050932929904185575 1882.0
132 1.0 0.13 0.18137254901960784 1.0 0.5 101.0
133 1.5 0.13 0.16142496602601436 1.0 0.5 101.0
134 2.0 0.13 0.13886485966935794 0.9901960784313726 0.4975369458128079 102.0
135 2.5 0.13 0.13096971461852067 1.0 0.5 101.0
136 3.0 0.13 0.11723856209150327 0.9901960784313726 0.4975369458128079 102.0
137 3.5 0.13 0.10651056539120503 0.9805825242718447 0.4950980392156863 103.0
138 4.0 0.13 0.10336538461538461 0.9711538461538461 0.4926829268292683 104.0
139 4.5 0.13 0.10147058823529412 0.9181818181818182 0.4786729857819905 110.0
140 5.0 0.13 0.08615505025539627 0.8487394957983193 0.4590909090909091 119.0
141 5.5 0.13 0.09505347593582887 0.9181818181818182 0.4786729857819905 110.0
142 1.0 0.14 0.2747524752475248 1.0 0.5 101.0
143 1.5 0.14 0.26174529217627646 1.0 0.5 101.0
144 2.0 0.14 0.25575131042516014 1.0 0.5 101.0
145 2.5 0.14 0.24847117064647642 1.0 0.5 101.0
146 3.0 0.14 0.24291399728208116 1.0 0.5 101.0
147 3.5 0.14 0.2360221316249272 1.0 0.5 101.0
148 4.0 0.14 0.23315860997864493 1.0 0.5 101.0
149 4.5 0.14 0.22270280661284123 0.9901960784313726 0.4975369458128079 102.0
150 5.0 0.14 0.22541739468064453 1.0 0.5 101.0
151 5.5 0.14 0.22677517608985343 0.9805825242718447 0.4950980392156863 103.0
152 1.0 0.15 0.34425354300135896 1.0 0.5 101.0
153 1.5 0.15 0.3462677150067948 1.0 0.5 101.0
154 2.0 0.15 0.33083381867598527 1.0 0.5 101.0
155 2.5 0.15 0.3319258396427878 1.0 0.5 101.0
156 3.0 0.15 0.32052028732284993 1.0 0.5 101.0
157 3.5 0.15 0.319889341875364 1.0 0.5 101.0
158 4.0 0.15 0.32469423412929527 1.0 0.5 101.0
159 4.5 0.15 0.31624927198602215 1.0 0.5 101.0
160 5.0 0.15 0.326465734808775 1.0 0.5 101.0
161 5.5 0.15 0.32002114571318724 0.9901960784313726 0.4975369458128079 102.0
162 1.0 0.16 0.4066928751698699 1.0 0.5 101.0
163 1.5 0.16 0.400237817899437 1.0 0.5 101.0
164 2.0 0.16 0.3921083284799068 1.0 0.5 101.0
165 2.5 0.16 0.3986847214133178 1.0 0.5 101.0
166 3.0 0.16 0.3947777130654242 1.0 0.5 101.0
167 3.5 0.16 0.39315181518151815 1.0 0.5 101.0
168 4.0 0.16 0.3928606095903708 1.0 0.5 101.0
169 4.5 0.16 0.3902397592700447 1.0 0.5 101.0
170 5.0 0.16 0.3845855173752669 1.0 0.5 101.0
171 5.5 0.16 0.39101630751310423 1.0 0.5 101.0

View File

@@ -0,0 +1,8 @@
{
"duration": 560.566807908006,
"name": "2d_BER_FER_DFR_40833844",
"platform": "Linux-6.1.6-arch1-3-x86_64-with-glibc2.36",
"omega": 0.05,
"K": 200,
"end_time": "2023-01-23 21:30:08.407054"
}

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@@ -0,0 +1,171 @@
SNR,gamma,BER,FER,DFR,num_iterations
1.0,0.0,0.1346947194719472,1.0,0.5,101.0
1.5,0.0,0.11117986798679869,1.0,0.5,101.0
2.0,0.0,0.09674092409240924,1.0,0.5,101.0
2.5,0.0,0.08745874587458746,1.0,0.5,101.0
3.0,0.0,0.07466996699669967,1.0,0.5,101.0
3.5,0.0,0.06775990099009901,1.0,0.5,101.0
4.0,0.0,0.06012788778877888,1.0,0.5,101.0
4.5,0.0,0.0445995145631068,0.9805825242718447,0.4950980392156863,103.0
5.0,0.0,0.03786057692307692,0.9711538461538461,0.4926829268292683,104.0
5.5,0.0,0.0294811320754717,0.9528301886792453,0.48792270531400966,106.0
1.0,0.01,0.10416666666666667,0.9711538461538461,0.4926829268292683,104.0
1.5,0.01,0.07615959119496855,0.9528301886792453,0.4854368932038835,106.0
2.0,0.01,0.04875341530054645,0.8278688524590164,0.452914798206278,122.0
2.5,0.01,0.041901629072681704,0.7593984962406015,0.43162393162393164,133.0
3.0,0.01,0.024725274725274724,0.554945054945055,0.3568904593639576,182.0
3.5,0.01,0.012889105058365758,0.39299610894941633,0.28212290502793297,257.0
4.0,0.01,0.008898305084745763,0.3423728813559322,0.255050505050505,295.0
4.5,0.01,0.004365257793764988,0.18165467625899281,0.1537290715372907,556.0
5.0,0.01,0.0024319903581267216,0.10433884297520661,0.09448082319925163,968.0
5.5,0.01,0.0008933129147524247,0.0515569167942828,0.04902912621359223,1959.0
1.0,0.02,0.10212053571428571,0.9017857142857143,0.47417840375586856,112.0
1.5,0.02,0.06855413105413105,0.8632478632478633,0.463302752293578,117.0
2.0,0.02,0.04114906832298137,0.6273291925465838,0.38549618320610685,161.0
2.5,0.02,0.031361408199643497,0.5401069518716578,0.3506944444444444,187.0
3.0,0.02,0.017597087378640776,0.3268608414239482,0.24449877750611246,309.0
3.5,0.02,0.010438413361169102,0.21085594989561587,0.17271157167530224,479.0
4.0,0.02,0.005260028949545079,0.12531017369727046,0.1113561190738699,806.0
4.5,0.02,0.0022165770073719867,0.06037059175134489,0.05640157924421884,1673.0
5.0,0.02,0.0007308728050759923,0.022355024347056218,0.021442495126705652,4518.0
5.5,0.02,0.00026402608673456365,0.007734129718967761,0.007523939808481532,13059.0
1.0,0.03,0.10360863095238096,0.9017857142857143,0.47417840375586856,112.0
1.5,0.03,0.06602690288713911,0.7952755905511811,0.44298245614035087,127.0
2.0,0.03,0.04184222846441948,0.5674157303370787,0.3597122302158273,178.0
2.5,0.03,0.030358483483483484,0.45495495495495497,0.3126934984520124,222.0
3.0,0.03,0.01581892730496454,0.26861702127659576,0.21008403361344538,376.0
3.5,0.03,0.010331805838424983,0.20570264765784113,0.16779661016949152,491.0
4.0,0.03,0.004622958693563881,0.09702209414024976,0.08844133099824869,1041.0
4.5,0.03,0.0019200598365440747,0.044220665499124345,0.04154427192614352,2284.0
5.0,0.03,0.0007336201289101768,0.017917331914138725,0.017259414225941423,5637.0
5.5,0.03,0.00024454967103918927,0.006191001593723182,0.005850091407678245,16314.0
1.0,0.04,0.10526315789473684,0.8859649122807017,0.4672897196261682,114.0
1.5,0.04,0.06615360696517412,0.753731343283582,0.42735042735042733,134.0
2.0,0.04,0.040803108808290155,0.5233160621761658,0.3412969283276451,193.0
2.5,0.04,0.028255208333333334,0.42083333333333334,0.2961876832844575,240.0
3.0,0.04,0.015997942386831276,0.24938271604938272,0.19960474308300397,405.0
3.5,0.04,0.009956813819577736,0.19385796545105566,0.1596774193548387,521.0
4.0,0.04,0.004163225984035232,0.08340214698596202,0.07627765064836003,1211.0
4.5,0.04,0.0022122524752475245,0.05,0.04716981132075472,2020.0
5.0,0.04,0.0007477800841838206,0.017471025774087528,0.01683673469387755,5781.0
5.5,0.04,0.00023787331546856188,0.005883723639753,0.005561348627042058,17166.0
1.0,0.05,0.10697463768115942,0.8782608695652174,0.46511627906976744,115.0
1.5,0.05,0.06957697201017812,0.7709923664122137,0.4329004329004329,131.0
2.0,0.05,0.041161003236245955,0.49029126213592233,0.32679738562091504,206.0
2.5,0.05,0.030123873873873875,0.45495495495495497,0.3105590062111801,222.0
3.0,0.05,0.01552030988274707,0.2537688442211055,0.20240480961923848,398.0
3.5,0.05,0.010208333333333333,0.18363636363636363,0.15384615384615385,550.0
4.0,0.05,0.004118015012510425,0.08423686405337781,0.07627118644067797,1199.0
4.5,0.05,0.002075984714873604,0.0445326278659612,0.04182509505703422,2268.0
5.0,0.05,0.0006656446667742456,0.01629820881071486,0.015724269377382465,6197.0
5.5,0.05,0.00024361759104975006,0.006010473696738872,0.005562788495679962,16804.0
1.0,0.06,0.10860507246376812,0.8782608695652174,0.46511627906976744,115.0
1.5,0.06,0.06986215538847118,0.7593984962406015,0.4291845493562232,133.0
2.0,0.06,0.04661312849162011,0.5642458100558659,0.35842293906810035,179.0
2.5,0.06,0.030640015015015017,0.45495495495495497,0.3105590062111801,222.0
3.0,0.06,0.016866364421416234,0.2616580310880829,0.205761316872428,386.0
3.5,0.06,0.01060005868544601,0.17781690140845072,0.1497005988023952,568.0
4.0,0.06,0.004001374705420267,0.0793401413982718,0.07215743440233237,1273.0
4.5,0.06,0.0022383317929759706,0.0466728280961183,0.044169611307420496,2164.0
5.0,0.06,0.000717465361273331,0.017347990381312264,0.01622169651909429,5822.0
5.5,0.06,0.000246610186169166,0.005962923603731255,0.0055774085598544005,16938.0
1.0,0.07,0.10969202898550724,0.8782608695652174,0.4675925925925926,115.0
1.5,0.07,0.06571588366890381,0.6778523489932886,0.40160642570281124,149.0
2.0,0.07,0.048812984496124034,0.5872093023255814,0.36764705882352944,172.0
2.5,0.07,0.031203497023809524,0.45089285714285715,0.30864197530864196,224.0
3.0,0.07,0.016545734388742305,0.26649076517150394,0.21041666666666667,379.0
3.5,0.07,0.010585281774580336,0.18165467625899281,0.1524390243902439,556.0
4.0,0.07,0.004550533448673587,0.08737024221453288,0.07961783439490445,1156.0
4.5,0.07,0.0024309055779569893,0.05090725806451613,0.04798464491362764,1984.0
5.0,0.07,0.0008353080568720379,0.01914691943127962,0.018422032005954596,5275.0
5.5,0.07,0.0002663176322917355,0.006672392151681311,0.0061063690085357844,15137.0
1.0,0.08,0.10510587431693989,0.8278688524590164,0.452914798206278,122.0
1.5,0.08,0.06693412162162163,0.6824324324324325,0.4032258064516129,148.0
2.0,0.08,0.05258534136546185,0.608433734939759,0.37593984962406013,166.0
2.5,0.08,0.03162369207772795,0.452914798206278,0.30959752321981426,223.0
3.0,0.08,0.017741755793226382,0.2700534759358289,0.2109704641350211,374.0
3.5,0.08,0.011236404350607805,0.19385796545105566,0.1610305958132045,521.0
4.0,0.08,0.004819789816459443,0.08969804618117229,0.08156606851549755,1126.0
4.5,0.08,0.0022914712320200124,0.0473733583489681,0.044802867383512544,2132.0
5.0,0.08,0.0007240003432297924,0.01733310451347177,0.01637407157326131,5827.0
5.5,0.08,0.00029078074988568814,0.006927297668038409,0.00633817215293396,14580.0
1.0,0.09,0.10451388888888889,0.8416666666666667,0.45701357466063347,120.0
1.5,0.09,0.06689342403628118,0.6870748299319728,0.4024390243902439,147.0
2.0,0.09,0.051277281746031744,0.6011904761904762,0.373134328358209,168.0
2.5,0.09,0.03066588785046729,0.4719626168224299,0.32063492063492066,214.0
3.0,0.09,0.018720657276995307,0.28450704225352114,0.22149122807017543,355.0
3.5,0.09,0.011574074074074073,0.20404040404040405,0.16806722689075632,495.0
4.0,0.09,0.004629629629629629,0.0890652557319224,0.08029197080291971,1134.0
4.5,0.09,0.0025395778364116096,0.05329815303430079,0.04917210235825389,1895.0
5.0,0.09,0.0007872295546314711,0.018260712348580725,0.01758436944937833,5531.0
5.5,0.09,0.0002889495751958513,0.006686527639854353,0.006119226213975523,15105.0
1.0,0.1,0.10545798898071625,0.8347107438016529,0.45248868778280543,121.0
1.5,0.1,0.06906392694063927,0.6917808219178082,0.4065040650406504,146.0
2.0,0.1,0.05580849889624724,0.6688741721854304,0.398406374501992,151.0
2.5,0.1,0.03563874788494078,0.5126903553299492,0.3367003367003367,197.0
3.0,0.1,0.021444187242798354,0.3117283950617284,0.2376470588235294,324.0
3.5,0.1,0.008698775612193904,0.15142428785607195,0.1303780964797914,667.0
4.0,0.1,0.0038456648868548183,0.07704042715484363,0.07021276595744681,1311.0
4.5,0.1,0.0024552461461959225,0.05022376926902039,0.046467520151730675,2011.0
5.0,0.1,0.000777282433056325,0.017486149584487534,0.016683690840994213,5776.0
5.5,0.1,0.00027746712755862815,0.0068456011928968415,0.0067990575563783235,14754.0
1.0,0.11,0.10795454545454546,0.8347107438016529,0.45248868778280543,121.0
1.5,0.11,0.07104885057471265,0.696551724137931,0.4105691056910569,145.0
2.0,0.11,0.056901041666666666,0.63125,0.38461538461538464,160.0
2.5,0.11,0.03851495726495727,0.517948717948718,0.3389830508474576,195.0
3.0,0.11,0.023148148148148147,0.3117283950617284,0.2376470588235294,324.0
3.5,0.11,0.010226644555002764,0.16749585406301823,0.14102564102564102,603.0
4.0,0.11,0.0054902659069325736,0.09591642924976258,0.08752166377816291,1053.0
4.5,0.11,0.0022757548845470693,0.044849023090586145,0.04129416773094934,2252.0
5.0,0.11,0.0009444177093358999,0.01944177093358999,0.019070996978851965,5195.0
5.5,0.11,0.0003233679758851847,0.0068160345525711975,0.006769890743347409,14818.0
1.0,0.12,0.1497844827586207,0.8706896551724138,0.46296296296296297,116.0
1.5,0.12,0.11599310776942356,0.7593984962406015,0.4291845493562232,133.0
2.0,0.12,0.09710081585081586,0.7062937062937062,0.4139344262295082,143.0
2.5,0.12,0.07447638146167558,0.5401069518716578,0.34615384615384615,187.0
3.0,0.12,0.04418742586002373,0.3594306049822064,0.2643979057591623,281.0
3.5,0.12,0.03012609649122807,0.2657894736842105,0.20668058455114824,380.0
4.0,0.12,0.013963560334528077,0.12066905615292713,0.10576923076923077,837.0
4.5,0.12,0.008003897550111359,0.07498144023756496,0.0691085003455425,1347.0
5.0,0.12,0.004985032831208961,0.03901120123599845,0.03718854592785422,2589.0
5.5,0.12,0.002348762603116407,0.01851512373968836,0.01658554173427078,5455.0
1.0,0.13,0.2574961059190031,0.9439252336448598,0.4855769230769231,107.0
1.5,0.13,0.23152173913043478,0.8782608695652174,0.4675925925925926,115.0
2.0,0.13,0.21479885057471265,0.8706896551724138,0.46543778801843316,116.0
2.5,0.13,0.16532939189189189,0.6824324324324325,0.40562248995983935,148.0
3.0,0.13,0.1294191919191919,0.51010101010101,0.3377926421404682,198.0
3.5,0.13,0.08825757575757576,0.36727272727272725,0.26666666666666666,275.0
4.0,0.13,0.06085526315789474,0.2531328320802005,0.20040080160320642,399.0
4.5,0.13,0.05009814418272662,0.21627408993576017,0.17491166077738515,467.0
5.0,0.13,0.03163265306122449,0.13741496598639455,0.11764705882352941,735.0
5.5,0.13,0.023883119024068578,0.09990108803165183,0.08589511754068715,1011.0
1.0,0.14,0.3316783489096573,0.9439252336448598,0.4830917874396135,107.0
1.5,0.14,0.3262924382716049,0.9351851851851852,0.4782608695652174,108.0
2.0,0.14,0.3117559523809524,0.9017857142857143,0.47417840375586856,112.0
2.5,0.14,0.27468832020997375,0.7952755905511811,0.44298245614035087,127.0
3.0,0.14,0.2322557471264368,0.696551724137931,0.4057377049180328,145.0
3.5,0.14,0.20638805220883535,0.608433734939759,0.37358490566037733,166.0
4.0,0.14,0.1875,0.5459459459459459,0.3485915492957746,185.0
4.5,0.14,0.1155459295929593,0.3333333333333333,0.24813895781637718,303.0
5.0,0.14,0.12193181818181818,0.36727272727272725,0.26861702127659576,275.0
5.5,0.14,0.11617772108843537,0.3435374149659864,0.25,294.0
1.0,0.15,0.38882211538461536,0.9711538461538461,0.4926829268292683,104.0
1.5,0.15,0.3895016339869281,0.9901960784313726,0.4975369458128079,102.0
2.0,0.15,0.3606651376146789,0.926605504587156,0.4784688995215311,109.0
2.5,0.15,0.3293269230769231,0.8632478632478633,0.4608294930875576,117.0
3.0,0.15,0.29605263157894735,0.7593984962406015,0.4291845493562232,133.0
3.5,0.15,0.29068538647342995,0.7318840579710145,0.4225941422594142,138.0
4.0,0.15,0.20591709621993126,0.520618556701031,0.3401360544217687,194.0
4.5,0.15,0.22678571428571428,0.5771428571428572,0.36363636363636365,175.0
5.0,0.15,0.16237997256515774,0.4156378600823045,0.2915451895043732,243.0
5.5,0.15,0.16196646341463414,0.4105691056910569,0.2910662824207493,246.0
1.0,0.16,0.4251237623762376,1.0,0.5,101.0
1.5,0.16,0.41061507936507935,0.9619047619047619,0.49029126213592233,105.0
2.0,0.16,0.39897798742138363,0.9528301886792453,0.48792270531400966,106.0
2.5,0.16,0.4084325396825397,0.9619047619047619,0.49029126213592233,105.0
3.0,0.16,0.36117097701149425,0.8706896551724138,0.46543778801843316,116.0
3.5,0.16,0.3315288713910761,0.7952755905511811,0.44052863436123346,127.0
4.0,0.16,0.3414713541666667,0.7890625,0.4410480349344978,128.0
4.5,0.16,0.28716216216216217,0.6824324324324325,0.40562248995983935,148.0
5.0,0.16,0.2544286427145709,0.6047904191616766,0.376865671641791,167.0
5.5,0.16,0.2061084142394822,0.49029126213592233,0.3289902280130293,206.0
1 SNR gamma BER FER DFR num_iterations
2 1.0 0.0 0.1346947194719472 1.0 0.5 101.0
3 1.5 0.0 0.11117986798679869 1.0 0.5 101.0
4 2.0 0.0 0.09674092409240924 1.0 0.5 101.0
5 2.5 0.0 0.08745874587458746 1.0 0.5 101.0
6 3.0 0.0 0.07466996699669967 1.0 0.5 101.0
7 3.5 0.0 0.06775990099009901 1.0 0.5 101.0
8 4.0 0.0 0.06012788778877888 1.0 0.5 101.0
9 4.5 0.0 0.0445995145631068 0.9805825242718447 0.4950980392156863 103.0
10 5.0 0.0 0.03786057692307692 0.9711538461538461 0.4926829268292683 104.0
11 5.5 0.0 0.0294811320754717 0.9528301886792453 0.48792270531400966 106.0
12 1.0 0.01 0.10416666666666667 0.9711538461538461 0.4926829268292683 104.0
13 1.5 0.01 0.07615959119496855 0.9528301886792453 0.4854368932038835 106.0
14 2.0 0.01 0.04875341530054645 0.8278688524590164 0.452914798206278 122.0
15 2.5 0.01 0.041901629072681704 0.7593984962406015 0.43162393162393164 133.0
16 3.0 0.01 0.024725274725274724 0.554945054945055 0.3568904593639576 182.0
17 3.5 0.01 0.012889105058365758 0.39299610894941633 0.28212290502793297 257.0
18 4.0 0.01 0.008898305084745763 0.3423728813559322 0.255050505050505 295.0
19 4.5 0.01 0.004365257793764988 0.18165467625899281 0.1537290715372907 556.0
20 5.0 0.01 0.0024319903581267216 0.10433884297520661 0.09448082319925163 968.0
21 5.5 0.01 0.0008933129147524247 0.0515569167942828 0.04902912621359223 1959.0
22 1.0 0.02 0.10212053571428571 0.9017857142857143 0.47417840375586856 112.0
23 1.5 0.02 0.06855413105413105 0.8632478632478633 0.463302752293578 117.0
24 2.0 0.02 0.04114906832298137 0.6273291925465838 0.38549618320610685 161.0
25 2.5 0.02 0.031361408199643497 0.5401069518716578 0.3506944444444444 187.0
26 3.0 0.02 0.017597087378640776 0.3268608414239482 0.24449877750611246 309.0
27 3.5 0.02 0.010438413361169102 0.21085594989561587 0.17271157167530224 479.0
28 4.0 0.02 0.005260028949545079 0.12531017369727046 0.1113561190738699 806.0
29 4.5 0.02 0.0022165770073719867 0.06037059175134489 0.05640157924421884 1673.0
30 5.0 0.02 0.0007308728050759923 0.022355024347056218 0.021442495126705652 4518.0
31 5.5 0.02 0.00026402608673456365 0.007734129718967761 0.007523939808481532 13059.0
32 1.0 0.03 0.10360863095238096 0.9017857142857143 0.47417840375586856 112.0
33 1.5 0.03 0.06602690288713911 0.7952755905511811 0.44298245614035087 127.0
34 2.0 0.03 0.04184222846441948 0.5674157303370787 0.3597122302158273 178.0
35 2.5 0.03 0.030358483483483484 0.45495495495495497 0.3126934984520124 222.0
36 3.0 0.03 0.01581892730496454 0.26861702127659576 0.21008403361344538 376.0
37 3.5 0.03 0.010331805838424983 0.20570264765784113 0.16779661016949152 491.0
38 4.0 0.03 0.004622958693563881 0.09702209414024976 0.08844133099824869 1041.0
39 4.5 0.03 0.0019200598365440747 0.044220665499124345 0.04154427192614352 2284.0
40 5.0 0.03 0.0007336201289101768 0.017917331914138725 0.017259414225941423 5637.0
41 5.5 0.03 0.00024454967103918927 0.006191001593723182 0.005850091407678245 16314.0
42 1.0 0.04 0.10526315789473684 0.8859649122807017 0.4672897196261682 114.0
43 1.5 0.04 0.06615360696517412 0.753731343283582 0.42735042735042733 134.0
44 2.0 0.04 0.040803108808290155 0.5233160621761658 0.3412969283276451 193.0
45 2.5 0.04 0.028255208333333334 0.42083333333333334 0.2961876832844575 240.0
46 3.0 0.04 0.015997942386831276 0.24938271604938272 0.19960474308300397 405.0
47 3.5 0.04 0.009956813819577736 0.19385796545105566 0.1596774193548387 521.0
48 4.0 0.04 0.004163225984035232 0.08340214698596202 0.07627765064836003 1211.0
49 4.5 0.04 0.0022122524752475245 0.05 0.04716981132075472 2020.0
50 5.0 0.04 0.0007477800841838206 0.017471025774087528 0.01683673469387755 5781.0
51 5.5 0.04 0.00023787331546856188 0.005883723639753 0.005561348627042058 17166.0
52 1.0 0.05 0.10697463768115942 0.8782608695652174 0.46511627906976744 115.0
53 1.5 0.05 0.06957697201017812 0.7709923664122137 0.4329004329004329 131.0
54 2.0 0.05 0.041161003236245955 0.49029126213592233 0.32679738562091504 206.0
55 2.5 0.05 0.030123873873873875 0.45495495495495497 0.3105590062111801 222.0
56 3.0 0.05 0.01552030988274707 0.2537688442211055 0.20240480961923848 398.0
57 3.5 0.05 0.010208333333333333 0.18363636363636363 0.15384615384615385 550.0
58 4.0 0.05 0.004118015012510425 0.08423686405337781 0.07627118644067797 1199.0
59 4.5 0.05 0.002075984714873604 0.0445326278659612 0.04182509505703422 2268.0
60 5.0 0.05 0.0006656446667742456 0.01629820881071486 0.015724269377382465 6197.0
61 5.5 0.05 0.00024361759104975006 0.006010473696738872 0.005562788495679962 16804.0
62 1.0 0.06 0.10860507246376812 0.8782608695652174 0.46511627906976744 115.0
63 1.5 0.06 0.06986215538847118 0.7593984962406015 0.4291845493562232 133.0
64 2.0 0.06 0.04661312849162011 0.5642458100558659 0.35842293906810035 179.0
65 2.5 0.06 0.030640015015015017 0.45495495495495497 0.3105590062111801 222.0
66 3.0 0.06 0.016866364421416234 0.2616580310880829 0.205761316872428 386.0
67 3.5 0.06 0.01060005868544601 0.17781690140845072 0.1497005988023952 568.0
68 4.0 0.06 0.004001374705420267 0.0793401413982718 0.07215743440233237 1273.0
69 4.5 0.06 0.0022383317929759706 0.0466728280961183 0.044169611307420496 2164.0
70 5.0 0.06 0.000717465361273331 0.017347990381312264 0.01622169651909429 5822.0
71 5.5 0.06 0.000246610186169166 0.005962923603731255 0.0055774085598544005 16938.0
72 1.0 0.07 0.10969202898550724 0.8782608695652174 0.4675925925925926 115.0
73 1.5 0.07 0.06571588366890381 0.6778523489932886 0.40160642570281124 149.0
74 2.0 0.07 0.048812984496124034 0.5872093023255814 0.36764705882352944 172.0
75 2.5 0.07 0.031203497023809524 0.45089285714285715 0.30864197530864196 224.0
76 3.0 0.07 0.016545734388742305 0.26649076517150394 0.21041666666666667 379.0
77 3.5 0.07 0.010585281774580336 0.18165467625899281 0.1524390243902439 556.0
78 4.0 0.07 0.004550533448673587 0.08737024221453288 0.07961783439490445 1156.0
79 4.5 0.07 0.0024309055779569893 0.05090725806451613 0.04798464491362764 1984.0
80 5.0 0.07 0.0008353080568720379 0.01914691943127962 0.018422032005954596 5275.0
81 5.5 0.07 0.0002663176322917355 0.006672392151681311 0.0061063690085357844 15137.0
82 1.0 0.08 0.10510587431693989 0.8278688524590164 0.452914798206278 122.0
83 1.5 0.08 0.06693412162162163 0.6824324324324325 0.4032258064516129 148.0
84 2.0 0.08 0.05258534136546185 0.608433734939759 0.37593984962406013 166.0
85 2.5 0.08 0.03162369207772795 0.452914798206278 0.30959752321981426 223.0
86 3.0 0.08 0.017741755793226382 0.2700534759358289 0.2109704641350211 374.0
87 3.5 0.08 0.011236404350607805 0.19385796545105566 0.1610305958132045 521.0
88 4.0 0.08 0.004819789816459443 0.08969804618117229 0.08156606851549755 1126.0
89 4.5 0.08 0.0022914712320200124 0.0473733583489681 0.044802867383512544 2132.0
90 5.0 0.08 0.0007240003432297924 0.01733310451347177 0.01637407157326131 5827.0
91 5.5 0.08 0.00029078074988568814 0.006927297668038409 0.00633817215293396 14580.0
92 1.0 0.09 0.10451388888888889 0.8416666666666667 0.45701357466063347 120.0
93 1.5 0.09 0.06689342403628118 0.6870748299319728 0.4024390243902439 147.0
94 2.0 0.09 0.051277281746031744 0.6011904761904762 0.373134328358209 168.0
95 2.5 0.09 0.03066588785046729 0.4719626168224299 0.32063492063492066 214.0
96 3.0 0.09 0.018720657276995307 0.28450704225352114 0.22149122807017543 355.0
97 3.5 0.09 0.011574074074074073 0.20404040404040405 0.16806722689075632 495.0
98 4.0 0.09 0.004629629629629629 0.0890652557319224 0.08029197080291971 1134.0
99 4.5 0.09 0.0025395778364116096 0.05329815303430079 0.04917210235825389 1895.0
100 5.0 0.09 0.0007872295546314711 0.018260712348580725 0.01758436944937833 5531.0
101 5.5 0.09 0.0002889495751958513 0.006686527639854353 0.006119226213975523 15105.0
102 1.0 0.1 0.10545798898071625 0.8347107438016529 0.45248868778280543 121.0
103 1.5 0.1 0.06906392694063927 0.6917808219178082 0.4065040650406504 146.0
104 2.0 0.1 0.05580849889624724 0.6688741721854304 0.398406374501992 151.0
105 2.5 0.1 0.03563874788494078 0.5126903553299492 0.3367003367003367 197.0
106 3.0 0.1 0.021444187242798354 0.3117283950617284 0.2376470588235294 324.0
107 3.5 0.1 0.008698775612193904 0.15142428785607195 0.1303780964797914 667.0
108 4.0 0.1 0.0038456648868548183 0.07704042715484363 0.07021276595744681 1311.0
109 4.5 0.1 0.0024552461461959225 0.05022376926902039 0.046467520151730675 2011.0
110 5.0 0.1 0.000777282433056325 0.017486149584487534 0.016683690840994213 5776.0
111 5.5 0.1 0.00027746712755862815 0.0068456011928968415 0.0067990575563783235 14754.0
112 1.0 0.11 0.10795454545454546 0.8347107438016529 0.45248868778280543 121.0
113 1.5 0.11 0.07104885057471265 0.696551724137931 0.4105691056910569 145.0
114 2.0 0.11 0.056901041666666666 0.63125 0.38461538461538464 160.0
115 2.5 0.11 0.03851495726495727 0.517948717948718 0.3389830508474576 195.0
116 3.0 0.11 0.023148148148148147 0.3117283950617284 0.2376470588235294 324.0
117 3.5 0.11 0.010226644555002764 0.16749585406301823 0.14102564102564102 603.0
118 4.0 0.11 0.0054902659069325736 0.09591642924976258 0.08752166377816291 1053.0
119 4.5 0.11 0.0022757548845470693 0.044849023090586145 0.04129416773094934 2252.0
120 5.0 0.11 0.0009444177093358999 0.01944177093358999 0.019070996978851965 5195.0
121 5.5 0.11 0.0003233679758851847 0.0068160345525711975 0.006769890743347409 14818.0
122 1.0 0.12 0.1497844827586207 0.8706896551724138 0.46296296296296297 116.0
123 1.5 0.12 0.11599310776942356 0.7593984962406015 0.4291845493562232 133.0
124 2.0 0.12 0.09710081585081586 0.7062937062937062 0.4139344262295082 143.0
125 2.5 0.12 0.07447638146167558 0.5401069518716578 0.34615384615384615 187.0
126 3.0 0.12 0.04418742586002373 0.3594306049822064 0.2643979057591623 281.0
127 3.5 0.12 0.03012609649122807 0.2657894736842105 0.20668058455114824 380.0
128 4.0 0.12 0.013963560334528077 0.12066905615292713 0.10576923076923077 837.0
129 4.5 0.12 0.008003897550111359 0.07498144023756496 0.0691085003455425 1347.0
130 5.0 0.12 0.004985032831208961 0.03901120123599845 0.03718854592785422 2589.0
131 5.5 0.12 0.002348762603116407 0.01851512373968836 0.01658554173427078 5455.0
132 1.0 0.13 0.2574961059190031 0.9439252336448598 0.4855769230769231 107.0
133 1.5 0.13 0.23152173913043478 0.8782608695652174 0.4675925925925926 115.0
134 2.0 0.13 0.21479885057471265 0.8706896551724138 0.46543778801843316 116.0
135 2.5 0.13 0.16532939189189189 0.6824324324324325 0.40562248995983935 148.0
136 3.0 0.13 0.1294191919191919 0.51010101010101 0.3377926421404682 198.0
137 3.5 0.13 0.08825757575757576 0.36727272727272725 0.26666666666666666 275.0
138 4.0 0.13 0.06085526315789474 0.2531328320802005 0.20040080160320642 399.0
139 4.5 0.13 0.05009814418272662 0.21627408993576017 0.17491166077738515 467.0
140 5.0 0.13 0.03163265306122449 0.13741496598639455 0.11764705882352941 735.0
141 5.5 0.13 0.023883119024068578 0.09990108803165183 0.08589511754068715 1011.0
142 1.0 0.14 0.3316783489096573 0.9439252336448598 0.4830917874396135 107.0
143 1.5 0.14 0.3262924382716049 0.9351851851851852 0.4782608695652174 108.0
144 2.0 0.14 0.3117559523809524 0.9017857142857143 0.47417840375586856 112.0
145 2.5 0.14 0.27468832020997375 0.7952755905511811 0.44298245614035087 127.0
146 3.0 0.14 0.2322557471264368 0.696551724137931 0.4057377049180328 145.0
147 3.5 0.14 0.20638805220883535 0.608433734939759 0.37358490566037733 166.0
148 4.0 0.14 0.1875 0.5459459459459459 0.3485915492957746 185.0
149 4.5 0.14 0.1155459295929593 0.3333333333333333 0.24813895781637718 303.0
150 5.0 0.14 0.12193181818181818 0.36727272727272725 0.26861702127659576 275.0
151 5.5 0.14 0.11617772108843537 0.3435374149659864 0.25 294.0
152 1.0 0.15 0.38882211538461536 0.9711538461538461 0.4926829268292683 104.0
153 1.5 0.15 0.3895016339869281 0.9901960784313726 0.4975369458128079 102.0
154 2.0 0.15 0.3606651376146789 0.926605504587156 0.4784688995215311 109.0
155 2.5 0.15 0.3293269230769231 0.8632478632478633 0.4608294930875576 117.0
156 3.0 0.15 0.29605263157894735 0.7593984962406015 0.4291845493562232 133.0
157 3.5 0.15 0.29068538647342995 0.7318840579710145 0.4225941422594142 138.0
158 4.0 0.15 0.20591709621993126 0.520618556701031 0.3401360544217687 194.0
159 4.5 0.15 0.22678571428571428 0.5771428571428572 0.36363636363636365 175.0
160 5.0 0.15 0.16237997256515774 0.4156378600823045 0.2915451895043732 243.0
161 5.5 0.15 0.16196646341463414 0.4105691056910569 0.2910662824207493 246.0
162 1.0 0.16 0.4251237623762376 1.0 0.5 101.0
163 1.5 0.16 0.41061507936507935 0.9619047619047619 0.49029126213592233 105.0
164 2.0 0.16 0.39897798742138363 0.9528301886792453 0.48792270531400966 106.0
165 2.5 0.16 0.4084325396825397 0.9619047619047619 0.49029126213592233 105.0
166 3.0 0.16 0.36117097701149425 0.8706896551724138 0.46543778801843316 116.0
167 3.5 0.16 0.3315288713910761 0.7952755905511811 0.44052863436123346 127.0
168 4.0 0.16 0.3414713541666667 0.7890625 0.4410480349344978 128.0
169 4.5 0.16 0.28716216216216217 0.6824324324324325 0.40562248995983935 148.0
170 5.0 0.16 0.2544286427145709 0.6047904191616766 0.376865671641791 167.0
171 5.5 0.16 0.2061084142394822 0.49029126213592233 0.3289902280130293 206.0

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@@ -0,0 +1,8 @@
{
"duration": 11.816431743005523,
"name": "2d_BER_FER_DFR_963965",
"platform": "Linux-6.1.6-arch1-3-x86_64-with-glibc2.36",
"omega": 0.05,
"K": 200,
"end_time": "2023-01-23 21:20:22.718490"
}

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@@ -0,0 +1,171 @@
SNR,gamma,BER,FER,DFR,num_iterations
1.0,0.0,0.17246885978920473,1.0,0.5,101.0
1.5,0.0,0.1523474928137975,1.0,0.5,101.0
2.0,0.0,0.13915243516761544,0.9901960784313726,0.4975369458128079,102.0
2.5,0.0,0.12749615975422426,0.9619047619047619,0.49029126213592233,105.0
3.0,0.0,0.11228287841191067,0.9711538461538461,0.4926829268292683,104.0
3.5,0.0,0.10906298003072197,0.9619047619047619,0.49029126213592233,105.0
4.0,0.0,0.0906158357771261,0.9181818181818182,0.4786729857819905,110.0
4.5,0.0,0.07730310956117407,0.9099099099099099,0.47641509433962265,111.0
5.0,0.0,0.06646273637374861,0.8706896551724138,0.46543778801843316,116.0
5.5,0.0,0.051881720430107525,0.8416666666666667,0.45701357466063347,120.0
1.0,0.01,0.15337243401759532,0.9181818181818182,0.4786729857819905,110.0
1.5,0.01,0.12903225806451613,0.8145161290322581,0.4488888888888889,124.0
2.0,0.01,0.09182952672474688,0.7372262773722628,0.42436974789915966,137.0
2.5,0.01,0.08457402812241521,0.6474358974358975,0.39299610894941633,156.0
3.0,0.01,0.07407407407407407,0.6234567901234568,0.3840304182509506,162.0
3.5,0.01,0.0474289364420313,0.5,0.3333333333333333,202.0
4.0,0.01,0.03533026113671275,0.4007936507936508,0.28611898016997167,252.0
4.5,0.01,0.0284288698073799,0.36330935251798563,0.26649076517150394,278.0
5.0,0.01,0.01631357496124603,0.2311212814645309,0.18773234200743494,437.0
5.5,0.01,0.011268959624011964,0.1672185430463576,0.14326241134751774,604.0
1.0,0.02,0.15315568022440393,0.8782608695652174,0.4675925925925926,115.0
1.5,0.02,0.12878971622604898,0.7593984962406015,0.43162393162393164,133.0
2.0,0.02,0.08187015108207432,0.6392405063291139,0.38996138996138996,158.0
2.5,0.02,0.08154121863799284,0.5611111111111111,0.3594306049822064,180.0
3.0,0.02,0.06181545386346587,0.4697674418604651,0.31962025316455694,215.0
3.5,0.02,0.046580645161290325,0.404,0.28774928774928776,250.0
4.0,0.02,0.030721966205837174,0.3005952380952381,0.2311212814645309,336.0
4.5,0.02,0.024625170377101317,0.28450704225352114,0.22149122807017543,355.0
5.0,0.02,0.011143695014662757,0.14125874125874127,0.12377450980392157,715.0
5.5,0.02,0.009301633366819214,0.11649365628604383,0.10433884297520661,867.0
1.0,0.03,0.14998621450234353,0.8632478632478633,0.463302752293578,117.0
1.5,0.03,0.12856474988312294,0.7318840579710145,0.4225941422594142,138.0
2.0,0.03,0.08183990442054959,0.6234567901234568,0.3840304182509506,162.0
2.5,0.03,0.08172043010752689,0.5611111111111111,0.3594306049822064,180.0
3.0,0.03,0.06587914584279873,0.47417840375586856,0.321656050955414,213.0
3.5,0.03,0.04078731547293603,0.3423728813559322,0.255050505050505,295.0
4.0,0.03,0.030460694352473748,0.2961876832844575,0.22850678733031674,341.0
4.5,0.03,0.026006501625406353,0.26098191214470284,0.2069672131147541,387.0
5.0,0.03,0.010357743464302094,0.11966824644549763,0.10687830687830688,844.0
5.5,0.03,0.008914256397101264,0.10039761431411531,0.09123757904245709,1006.0
1.0,0.04,0.15180265654648956,0.8487394957983193,0.4590909090909091,119.0
1.5,0.04,0.12926601215521272,0.7318840579710145,0.4225941422594142,138.0
2.0,0.04,0.08836754643206256,0.6121212121212121,0.37969924812030076,165.0
2.5,0.04,0.08415147265077139,0.5489130434782609,0.3543859649122807,184.0
3.0,0.04,0.07466841329621746,0.5126903553299492,0.3389261744966443,197.0
3.5,0.04,0.04056212072820185,0.3333333333333333,0.25,303.0
4.0,0.04,0.031188736410621993,0.27900552486187846,0.21814254859611232,362.0
4.5,0.04,0.02373099509291288,0.2518703241895262,0.20119521912350596,401.0
5.0,0.04,0.010613699253250446,0.11868390129259694,0.10609243697478991,851.0
5.5,0.04,0.008914715884703007,0.10337768679631525,0.09369202226345083,977.0
1.0,0.05,0.15142628632364702,0.8347107438016529,0.45495495495495497,121.0
1.5,0.05,0.12880018565792528,0.7266187050359713,0.42083333333333334,139.0
2.0,0.05,0.08375437232802177,0.608433734939759,0.3782771535580524,166.0
2.5,0.05,0.08469994593620472,0.5642458100558659,0.3607142857142857,179.0
3.0,0.05,0.07745295698924731,0.5260416666666666,0.3447098976109215,192.0
3.5,0.05,0.041153145429214444,0.33554817275747506,0.2512437810945274,301.0
4.0,0.05,0.033122119815668205,0.3005952380952381,0.2311212814645309,336.0
4.5,0.05,0.02405817281658544,0.2422062350119904,0.19498069498069498,417.0
5.0,0.05,0.010602300924881571,0.11771561771561771,0.10531803962460896,858.0
5.5,0.05,0.008177306564403339,0.08828671328671328,0.08112449799196787,1144.0
1.0,0.06,0.15940860215053765,0.8416666666666667,0.45701357466063347,120.0
1.5,0.06,0.13512294157455448,0.7062937062937062,0.4139344262295082,143.0
2.0,0.06,0.11155046826222685,0.6516129032258065,0.39453125,155.0
2.5,0.06,0.08697855092045263,0.5287958115183246,0.3458904109589041,191.0
3.0,0.06,0.08373725555741267,0.5233160621761658,0.3435374149659864,193.0
3.5,0.06,0.04290533417668142,0.3300653594771242,0.24815724815724816,306.0
4.0,0.06,0.03235294117647059,0.29705882352941176,0.2290249433106576,340.0
4.5,0.06,0.02947437366955952,0.2563451776649746,0.20404040404040405,394.0
5.0,0.06,0.010309278350515464,0.10412371134020619,0.09430438842203548,970.0
5.5,0.06,0.008838207823347367,0.08729472774416594,0.08028616852146264,1157.0
1.0,0.07,0.23736559139784946,0.8416666666666667,0.45454545454545453,120.0
1.5,0.07,0.19278638557277114,0.7952755905511811,0.44298245614035087,127.0
2.0,0.07,0.17253820033955858,0.6644736842105263,0.39920948616600793,152.0
2.5,0.07,0.13411640953716691,0.5489130434782609,0.3543859649122807,184.0
3.0,0.07,0.11626344086021505,0.5260416666666666,0.3424657534246575,192.0
3.5,0.07,0.09476544960415928,0.36996336996337,0.2700534759358289,273.0
4.0,0.07,0.08234007654455987,0.3423728813559322,0.255050505050505,295.0
4.5,0.07,0.056413392447637975,0.23933649289099526,0.19157088122605365,422.0
5.0,0.07,0.03837427246719937,0.154434250764526,0.1337748344370861,654.0
5.5,0.07,0.026166097838452786,0.1149032992036405,0.10306122448979592,879.0
1.0,0.08,0.2706396938217605,0.8559322033898306,0.4611872146118721,118.0
1.5,0.08,0.2679285523860304,0.8347107438016529,0.45495495495495497,121.0
2.0,0.08,0.25054571913655105,0.7593984962406015,0.4291845493562232,133.0
2.5,0.08,0.20997427270928162,0.6196319018404908,0.37786259541984735,163.0
3.0,0.08,0.21417854463615904,0.5872093023255814,0.36059479553903345,172.0
3.5,0.08,0.15640273704789834,0.43722943722943725,0.29357798165137616,231.0
4.0,0.08,0.14400921658986174,0.4007936507936508,0.28,252.0
4.5,0.08,0.13246396705559368,0.35815602836879434,0.25396825396825395,282.0
5.0,0.08,0.10314615690959777,0.24938271604938272,0.19,405.0
5.5,0.08,0.05843553540142224,0.16134185303514376,0.13416320885200553,626.0
1.0,0.09,0.3539898132427844,0.8859649122807017,0.4697674418604651,114.0
1.5,0.09,0.31930016402405687,0.8559322033898306,0.4611872146118721,118.0
2.0,0.09,0.33512544802867383,0.8015873015873016,0.4424778761061947,126.0
2.5,0.09,0.30382063601006637,0.7163120567375887,0.4125,141.0
3.0,0.09,0.2763440860215054,0.6733333333333333,0.39759036144578314,150.0
3.5,0.09,0.19857351272491489,0.507537688442211,0.32996632996632996,199.0
4.0,0.09,0.2090257412838058,0.51010101010101,0.3288135593220339,198.0
4.5,0.09,0.1790787202973583,0.4156378600823045,0.28106508875739644,243.0
5.0,0.09,0.12483298339377744,0.2988165680473373,0.22298850574712645,338.0
5.5,0.09,0.10690271512469146,0.26649076517150394,0.20876826722338204,379.0
1.0,0.1,0.4019411932629175,0.8938053097345132,0.4719626168224299,113.0
1.5,0.1,0.4019411932629175,0.8938053097345132,0.4719626168224299,113.0
2.0,0.1,0.3652268999453253,0.8559322033898306,0.45871559633027525,118.0
2.5,0.1,0.31846259437199725,0.7163120567375887,0.41735537190082644,141.0
3.0,0.1,0.2961067853170189,0.696551724137931,0.40816326530612246,145.0
3.5,0.1,0.2874762808349146,0.5941176470588235,0.3680297397769517,170.0
4.0,0.1,0.25298036465638146,0.5489130434782609,0.3543859649122807,184.0
4.5,0.1,0.1914156225006665,0.41735537190082644,0.2861356932153392,242.0
5.0,0.1,0.13803680981595093,0.3098159509202454,0.23653395784543327,326.0
5.5,0.1,0.14603937517330623,0.28939828080229224,0.21748878923766815,349.0
1.0,0.11,0.419941348973607,0.9181818181818182,0.47619047619047616,110.0
1.5,0.11,0.43167155425219944,0.9181818181818182,0.47368421052631576,110.0
2.0,0.11,0.4112176692821854,0.9099099099099099,0.47393364928909953,111.0
2.5,0.11,0.3531149963063285,0.7709923664122137,0.4329004329004329,131.0
3.0,0.11,0.3541424924576468,0.7266187050359713,0.41350210970464135,139.0
3.5,0.11,0.28992677617257073,0.6196319018404908,0.37786259541984735,163.0
4.0,0.11,0.28682966920073966,0.643312101910828,0.38188976377952755,157.0
4.5,0.11,0.23011743719339972,0.46543778801843316,0.30448717948717946,217.0
5.0,0.11,0.14990512333965844,0.3300653594771242,0.24815724815724816,306.0
5.5,0.11,0.17802904334331004,0.3470790378006873,0.2519280205655527,291.0
1.0,0.12,0.41407624633431084,0.9181818181818182,0.4786729857819905,110.0
1.5,0.12,0.47331378299120236,0.9181818181818182,0.47619047619047616,110.0
2.0,0.12,0.4363327674023769,0.8859649122807017,0.4647887323943662,114.0
2.5,0.12,0.3940985246311578,0.7829457364341085,0.4366812227074236,129.0
3.0,0.12,0.36496350364963503,0.7372262773722628,0.4194915254237288,137.0
3.5,0.12,0.3426028921023359,0.696551724137931,0.40816326530612246,145.0
4.0,0.12,0.275642263859378,0.6047904191616766,0.37453183520599254,167.0
4.5,0.12,0.24830438378825476,0.517948717948718,0.3389830508474576,195.0
5.0,0.12,0.18476214384335382,0.39299610894941633,0.28212290502793297,257.0
5.5,0.12,0.1506133575647433,0.35563380281690143,0.2604166666666667,284.0
1.0,0.13,0.485378353934278,0.9439252336448598,0.4830917874396135,107.0
1.5,0.13,0.46527172333623945,0.9099099099099099,0.47393364928909953,111.0
2.0,0.13,0.4352057842046719,0.8706896551724138,0.46543778801843316,116.0
2.5,0.13,0.3845567691135382,0.7952755905511811,0.43805309734513276,127.0
3.0,0.13,0.37527702536321106,0.7709923664122137,0.4329004329004329,131.0
3.5,0.13,0.299198960814029,0.6778523489932886,0.3943089430894309,149.0
4.0,0.13,0.3147665798437187,0.6273291925465838,0.3831417624521073,161.0
4.5,0.13,0.24736428009441386,0.4926829268292683,0.3234323432343234,205.0
5.0,0.13,0.2366113373003445,0.49029126213592233,0.32679738562091504,206.0
5.5,0.13,0.1875235345801431,0.39299610894941633,0.2801120448179272,257.0
1.0,0.14,0.46236559139784944,0.9351851851851852,0.48325358851674644,108.0
1.5,0.14,0.48085619535725055,0.9439252336448598,0.4855769230769231,107.0
2.0,0.14,0.4267359212684527,0.8559322033898306,0.45871559633027525,118.0
2.5,0.14,0.40283870967741936,0.808,0.4419642857142857,125.0
3.0,0.14,0.3883374689826303,0.7769230769230769,0.43231441048034935,130.0
3.5,0.14,0.34592529711375214,0.6644736842105263,0.3968253968253968,152.0
4.0,0.14,0.3150537634408602,0.6733333333333333,0.3951612903225806,150.0
4.5,0.14,0.2956989247311828,0.5804597701149425,0.3626373626373626,174.0
5.0,0.14,0.21515241195620005,0.463302752293578,0.3166144200626959,218.0
5.5,0.14,0.19516129032258064,0.42083333333333334,0.28994082840236685,240.0
1.0,0.15,0.47991479001825926,0.9528301886792453,0.4854368932038835,106.0
1.5,0.15,0.46535244922341695,0.9351851851851852,0.4807692307692308,108.0
2.0,0.15,0.46759662888695147,0.9099099099099099,0.47393364928909953,111.0
2.5,0.15,0.4075531077891424,0.8211382113821138,0.4484304932735426,123.0
3.0,0.15,0.421505376344086,0.8416666666666667,0.45454545454545453,120.0
3.5,0.15,0.3563959955506118,0.696551724137931,0.40816326530612246,145.0
4.0,0.15,0.373963133640553,0.7214285714285714,0.4166666666666667,140.0
4.5,0.15,0.27419354838709675,0.543010752688172,0.3473684210526316,186.0
5.0,0.15,0.2540523190499117,0.5024875621890548,0.33,201.0
5.5,0.15,0.255089257751331,0.49029126213592233,0.32679738562091504,206.0
1.0,0.16,0.48752282410225195,0.9528301886792453,0.4854368932038835,106.0
1.5,0.16,0.5334753499695679,0.9528301886792453,0.48792270531400966,106.0
2.0,0.16,0.4293462746217528,0.8938053097345132,0.4719626168224299,113.0
2.5,0.16,0.4549499443826474,0.8706896551724138,0.46543778801843316,116.0
3.0,0.16,0.4185867895545315,0.8015873015873016,0.44493392070484583,126.0
3.5,0.16,0.34547346514047866,0.6516129032258065,0.39215686274509803,155.0
4.0,0.16,0.3620329542817359,0.7266187050359713,0.42083333333333334,139.0
4.5,0.16,0.33586337760910817,0.6601307189542484,0.3952569169960474,153.0
5.0,0.16,0.32735254819622067,0.5976331360946746,0.37407407407407406,169.0
5.5,0.16,0.23830838092298195,0.48325358851674644,0.3258064516129032,209.0
1 SNR gamma BER FER DFR num_iterations
2 1.0 0.0 0.17246885978920473 1.0 0.5 101.0
3 1.5 0.0 0.1523474928137975 1.0 0.5 101.0
4 2.0 0.0 0.13915243516761544 0.9901960784313726 0.4975369458128079 102.0
5 2.5 0.0 0.12749615975422426 0.9619047619047619 0.49029126213592233 105.0
6 3.0 0.0 0.11228287841191067 0.9711538461538461 0.4926829268292683 104.0
7 3.5 0.0 0.10906298003072197 0.9619047619047619 0.49029126213592233 105.0
8 4.0 0.0 0.0906158357771261 0.9181818181818182 0.4786729857819905 110.0
9 4.5 0.0 0.07730310956117407 0.9099099099099099 0.47641509433962265 111.0
10 5.0 0.0 0.06646273637374861 0.8706896551724138 0.46543778801843316 116.0
11 5.5 0.0 0.051881720430107525 0.8416666666666667 0.45701357466063347 120.0
12 1.0 0.01 0.15337243401759532 0.9181818181818182 0.4786729857819905 110.0
13 1.5 0.01 0.12903225806451613 0.8145161290322581 0.4488888888888889 124.0
14 2.0 0.01 0.09182952672474688 0.7372262773722628 0.42436974789915966 137.0
15 2.5 0.01 0.08457402812241521 0.6474358974358975 0.39299610894941633 156.0
16 3.0 0.01 0.07407407407407407 0.6234567901234568 0.3840304182509506 162.0
17 3.5 0.01 0.0474289364420313 0.5 0.3333333333333333 202.0
18 4.0 0.01 0.03533026113671275 0.4007936507936508 0.28611898016997167 252.0
19 4.5 0.01 0.0284288698073799 0.36330935251798563 0.26649076517150394 278.0
20 5.0 0.01 0.01631357496124603 0.2311212814645309 0.18773234200743494 437.0
21 5.5 0.01 0.011268959624011964 0.1672185430463576 0.14326241134751774 604.0
22 1.0 0.02 0.15315568022440393 0.8782608695652174 0.4675925925925926 115.0
23 1.5 0.02 0.12878971622604898 0.7593984962406015 0.43162393162393164 133.0
24 2.0 0.02 0.08187015108207432 0.6392405063291139 0.38996138996138996 158.0
25 2.5 0.02 0.08154121863799284 0.5611111111111111 0.3594306049822064 180.0
26 3.0 0.02 0.06181545386346587 0.4697674418604651 0.31962025316455694 215.0
27 3.5 0.02 0.046580645161290325 0.404 0.28774928774928776 250.0
28 4.0 0.02 0.030721966205837174 0.3005952380952381 0.2311212814645309 336.0
29 4.5 0.02 0.024625170377101317 0.28450704225352114 0.22149122807017543 355.0
30 5.0 0.02 0.011143695014662757 0.14125874125874127 0.12377450980392157 715.0
31 5.5 0.02 0.009301633366819214 0.11649365628604383 0.10433884297520661 867.0
32 1.0 0.03 0.14998621450234353 0.8632478632478633 0.463302752293578 117.0
33 1.5 0.03 0.12856474988312294 0.7318840579710145 0.4225941422594142 138.0
34 2.0 0.03 0.08183990442054959 0.6234567901234568 0.3840304182509506 162.0
35 2.5 0.03 0.08172043010752689 0.5611111111111111 0.3594306049822064 180.0
36 3.0 0.03 0.06587914584279873 0.47417840375586856 0.321656050955414 213.0
37 3.5 0.03 0.04078731547293603 0.3423728813559322 0.255050505050505 295.0
38 4.0 0.03 0.030460694352473748 0.2961876832844575 0.22850678733031674 341.0
39 4.5 0.03 0.026006501625406353 0.26098191214470284 0.2069672131147541 387.0
40 5.0 0.03 0.010357743464302094 0.11966824644549763 0.10687830687830688 844.0
41 5.5 0.03 0.008914256397101264 0.10039761431411531 0.09123757904245709 1006.0
42 1.0 0.04 0.15180265654648956 0.8487394957983193 0.4590909090909091 119.0
43 1.5 0.04 0.12926601215521272 0.7318840579710145 0.4225941422594142 138.0
44 2.0 0.04 0.08836754643206256 0.6121212121212121 0.37969924812030076 165.0
45 2.5 0.04 0.08415147265077139 0.5489130434782609 0.3543859649122807 184.0
46 3.0 0.04 0.07466841329621746 0.5126903553299492 0.3389261744966443 197.0
47 3.5 0.04 0.04056212072820185 0.3333333333333333 0.25 303.0
48 4.0 0.04 0.031188736410621993 0.27900552486187846 0.21814254859611232 362.0
49 4.5 0.04 0.02373099509291288 0.2518703241895262 0.20119521912350596 401.0
50 5.0 0.04 0.010613699253250446 0.11868390129259694 0.10609243697478991 851.0
51 5.5 0.04 0.008914715884703007 0.10337768679631525 0.09369202226345083 977.0
52 1.0 0.05 0.15142628632364702 0.8347107438016529 0.45495495495495497 121.0
53 1.5 0.05 0.12880018565792528 0.7266187050359713 0.42083333333333334 139.0
54 2.0 0.05 0.08375437232802177 0.608433734939759 0.3782771535580524 166.0
55 2.5 0.05 0.08469994593620472 0.5642458100558659 0.3607142857142857 179.0
56 3.0 0.05 0.07745295698924731 0.5260416666666666 0.3447098976109215 192.0
57 3.5 0.05 0.041153145429214444 0.33554817275747506 0.2512437810945274 301.0
58 4.0 0.05 0.033122119815668205 0.3005952380952381 0.2311212814645309 336.0
59 4.5 0.05 0.02405817281658544 0.2422062350119904 0.19498069498069498 417.0
60 5.0 0.05 0.010602300924881571 0.11771561771561771 0.10531803962460896 858.0
61 5.5 0.05 0.008177306564403339 0.08828671328671328 0.08112449799196787 1144.0
62 1.0 0.06 0.15940860215053765 0.8416666666666667 0.45701357466063347 120.0
63 1.5 0.06 0.13512294157455448 0.7062937062937062 0.4139344262295082 143.0
64 2.0 0.06 0.11155046826222685 0.6516129032258065 0.39453125 155.0
65 2.5 0.06 0.08697855092045263 0.5287958115183246 0.3458904109589041 191.0
66 3.0 0.06 0.08373725555741267 0.5233160621761658 0.3435374149659864 193.0
67 3.5 0.06 0.04290533417668142 0.3300653594771242 0.24815724815724816 306.0
68 4.0 0.06 0.03235294117647059 0.29705882352941176 0.2290249433106576 340.0
69 4.5 0.06 0.02947437366955952 0.2563451776649746 0.20404040404040405 394.0
70 5.0 0.06 0.010309278350515464 0.10412371134020619 0.09430438842203548 970.0
71 5.5 0.06 0.008838207823347367 0.08729472774416594 0.08028616852146264 1157.0
72 1.0 0.07 0.23736559139784946 0.8416666666666667 0.45454545454545453 120.0
73 1.5 0.07 0.19278638557277114 0.7952755905511811 0.44298245614035087 127.0
74 2.0 0.07 0.17253820033955858 0.6644736842105263 0.39920948616600793 152.0
75 2.5 0.07 0.13411640953716691 0.5489130434782609 0.3543859649122807 184.0
76 3.0 0.07 0.11626344086021505 0.5260416666666666 0.3424657534246575 192.0
77 3.5 0.07 0.09476544960415928 0.36996336996337 0.2700534759358289 273.0
78 4.0 0.07 0.08234007654455987 0.3423728813559322 0.255050505050505 295.0
79 4.5 0.07 0.056413392447637975 0.23933649289099526 0.19157088122605365 422.0
80 5.0 0.07 0.03837427246719937 0.154434250764526 0.1337748344370861 654.0
81 5.5 0.07 0.026166097838452786 0.1149032992036405 0.10306122448979592 879.0
82 1.0 0.08 0.2706396938217605 0.8559322033898306 0.4611872146118721 118.0
83 1.5 0.08 0.2679285523860304 0.8347107438016529 0.45495495495495497 121.0
84 2.0 0.08 0.25054571913655105 0.7593984962406015 0.4291845493562232 133.0
85 2.5 0.08 0.20997427270928162 0.6196319018404908 0.37786259541984735 163.0
86 3.0 0.08 0.21417854463615904 0.5872093023255814 0.36059479553903345 172.0
87 3.5 0.08 0.15640273704789834 0.43722943722943725 0.29357798165137616 231.0
88 4.0 0.08 0.14400921658986174 0.4007936507936508 0.28 252.0
89 4.5 0.08 0.13246396705559368 0.35815602836879434 0.25396825396825395 282.0
90 5.0 0.08 0.10314615690959777 0.24938271604938272 0.19 405.0
91 5.5 0.08 0.05843553540142224 0.16134185303514376 0.13416320885200553 626.0
92 1.0 0.09 0.3539898132427844 0.8859649122807017 0.4697674418604651 114.0
93 1.5 0.09 0.31930016402405687 0.8559322033898306 0.4611872146118721 118.0
94 2.0 0.09 0.33512544802867383 0.8015873015873016 0.4424778761061947 126.0
95 2.5 0.09 0.30382063601006637 0.7163120567375887 0.4125 141.0
96 3.0 0.09 0.2763440860215054 0.6733333333333333 0.39759036144578314 150.0
97 3.5 0.09 0.19857351272491489 0.507537688442211 0.32996632996632996 199.0
98 4.0 0.09 0.2090257412838058 0.51010101010101 0.3288135593220339 198.0
99 4.5 0.09 0.1790787202973583 0.4156378600823045 0.28106508875739644 243.0
100 5.0 0.09 0.12483298339377744 0.2988165680473373 0.22298850574712645 338.0
101 5.5 0.09 0.10690271512469146 0.26649076517150394 0.20876826722338204 379.0
102 1.0 0.1 0.4019411932629175 0.8938053097345132 0.4719626168224299 113.0
103 1.5 0.1 0.4019411932629175 0.8938053097345132 0.4719626168224299 113.0
104 2.0 0.1 0.3652268999453253 0.8559322033898306 0.45871559633027525 118.0
105 2.5 0.1 0.31846259437199725 0.7163120567375887 0.41735537190082644 141.0
106 3.0 0.1 0.2961067853170189 0.696551724137931 0.40816326530612246 145.0
107 3.5 0.1 0.2874762808349146 0.5941176470588235 0.3680297397769517 170.0
108 4.0 0.1 0.25298036465638146 0.5489130434782609 0.3543859649122807 184.0
109 4.5 0.1 0.1914156225006665 0.41735537190082644 0.2861356932153392 242.0
110 5.0 0.1 0.13803680981595093 0.3098159509202454 0.23653395784543327 326.0
111 5.5 0.1 0.14603937517330623 0.28939828080229224 0.21748878923766815 349.0
112 1.0 0.11 0.419941348973607 0.9181818181818182 0.47619047619047616 110.0
113 1.5 0.11 0.43167155425219944 0.9181818181818182 0.47368421052631576 110.0
114 2.0 0.11 0.4112176692821854 0.9099099099099099 0.47393364928909953 111.0
115 2.5 0.11 0.3531149963063285 0.7709923664122137 0.4329004329004329 131.0
116 3.0 0.11 0.3541424924576468 0.7266187050359713 0.41350210970464135 139.0
117 3.5 0.11 0.28992677617257073 0.6196319018404908 0.37786259541984735 163.0
118 4.0 0.11 0.28682966920073966 0.643312101910828 0.38188976377952755 157.0
119 4.5 0.11 0.23011743719339972 0.46543778801843316 0.30448717948717946 217.0
120 5.0 0.11 0.14990512333965844 0.3300653594771242 0.24815724815724816 306.0
121 5.5 0.11 0.17802904334331004 0.3470790378006873 0.2519280205655527 291.0
122 1.0 0.12 0.41407624633431084 0.9181818181818182 0.4786729857819905 110.0
123 1.5 0.12 0.47331378299120236 0.9181818181818182 0.47619047619047616 110.0
124 2.0 0.12 0.4363327674023769 0.8859649122807017 0.4647887323943662 114.0
125 2.5 0.12 0.3940985246311578 0.7829457364341085 0.4366812227074236 129.0
126 3.0 0.12 0.36496350364963503 0.7372262773722628 0.4194915254237288 137.0
127 3.5 0.12 0.3426028921023359 0.696551724137931 0.40816326530612246 145.0
128 4.0 0.12 0.275642263859378 0.6047904191616766 0.37453183520599254 167.0
129 4.5 0.12 0.24830438378825476 0.517948717948718 0.3389830508474576 195.0
130 5.0 0.12 0.18476214384335382 0.39299610894941633 0.28212290502793297 257.0
131 5.5 0.12 0.1506133575647433 0.35563380281690143 0.2604166666666667 284.0
132 1.0 0.13 0.485378353934278 0.9439252336448598 0.4830917874396135 107.0
133 1.5 0.13 0.46527172333623945 0.9099099099099099 0.47393364928909953 111.0
134 2.0 0.13 0.4352057842046719 0.8706896551724138 0.46543778801843316 116.0
135 2.5 0.13 0.3845567691135382 0.7952755905511811 0.43805309734513276 127.0
136 3.0 0.13 0.37527702536321106 0.7709923664122137 0.4329004329004329 131.0
137 3.5 0.13 0.299198960814029 0.6778523489932886 0.3943089430894309 149.0
138 4.0 0.13 0.3147665798437187 0.6273291925465838 0.3831417624521073 161.0
139 4.5 0.13 0.24736428009441386 0.4926829268292683 0.3234323432343234 205.0
140 5.0 0.13 0.2366113373003445 0.49029126213592233 0.32679738562091504 206.0
141 5.5 0.13 0.1875235345801431 0.39299610894941633 0.2801120448179272 257.0
142 1.0 0.14 0.46236559139784944 0.9351851851851852 0.48325358851674644 108.0
143 1.5 0.14 0.48085619535725055 0.9439252336448598 0.4855769230769231 107.0
144 2.0 0.14 0.4267359212684527 0.8559322033898306 0.45871559633027525 118.0
145 2.5 0.14 0.40283870967741936 0.808 0.4419642857142857 125.0
146 3.0 0.14 0.3883374689826303 0.7769230769230769 0.43231441048034935 130.0
147 3.5 0.14 0.34592529711375214 0.6644736842105263 0.3968253968253968 152.0
148 4.0 0.14 0.3150537634408602 0.6733333333333333 0.3951612903225806 150.0
149 4.5 0.14 0.2956989247311828 0.5804597701149425 0.3626373626373626 174.0
150 5.0 0.14 0.21515241195620005 0.463302752293578 0.3166144200626959 218.0
151 5.5 0.14 0.19516129032258064 0.42083333333333334 0.28994082840236685 240.0
152 1.0 0.15 0.47991479001825926 0.9528301886792453 0.4854368932038835 106.0
153 1.5 0.15 0.46535244922341695 0.9351851851851852 0.4807692307692308 108.0
154 2.0 0.15 0.46759662888695147 0.9099099099099099 0.47393364928909953 111.0
155 2.5 0.15 0.4075531077891424 0.8211382113821138 0.4484304932735426 123.0
156 3.0 0.15 0.421505376344086 0.8416666666666667 0.45454545454545453 120.0
157 3.5 0.15 0.3563959955506118 0.696551724137931 0.40816326530612246 145.0
158 4.0 0.15 0.373963133640553 0.7214285714285714 0.4166666666666667 140.0
159 4.5 0.15 0.27419354838709675 0.543010752688172 0.3473684210526316 186.0
160 5.0 0.15 0.2540523190499117 0.5024875621890548 0.33 201.0
161 5.5 0.15 0.255089257751331 0.49029126213592233 0.32679738562091504 206.0
162 1.0 0.16 0.48752282410225195 0.9528301886792453 0.4854368932038835 106.0
163 1.5 0.16 0.5334753499695679 0.9528301886792453 0.48792270531400966 106.0
164 2.0 0.16 0.4293462746217528 0.8938053097345132 0.4719626168224299 113.0
165 2.5 0.16 0.4549499443826474 0.8706896551724138 0.46543778801843316 116.0
166 3.0 0.16 0.4185867895545315 0.8015873015873016 0.44493392070484583 126.0
167 3.5 0.16 0.34547346514047866 0.6516129032258065 0.39215686274509803 155.0
168 4.0 0.16 0.3620329542817359 0.7266187050359713 0.42083333333333334 139.0
169 4.5 0.16 0.33586337760910817 0.6601307189542484 0.3952569169960474 153.0
170 5.0 0.16 0.32735254819622067 0.5976331360946746 0.37407407407407406 169.0
171 5.5 0.16 0.23830838092298195 0.48325358851674644 0.3258064516129032 209.0

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@@ -0,0 +1,8 @@
{
"duration": 0.8555854359874502,
"name": "2d_BER_FER_DFR_bch_31_11",
"platform": "Linux-6.1.6-arch1-3-x86_64-with-glibc2.36",
"omega": 0.05,
"K": 200,
"end_time": "2023-01-23 21:31:15.627293"
}

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@@ -0,0 +1,171 @@
SNR,gamma,BER,FER,DFR,num_iterations
1.0,0.0,0.07585004359197908,0.9099099099099099,0.47393364928909953,111.0
1.5,0.0,0.06950146627565983,0.9181818181818182,0.47368421052631576,110.0
2.0,0.0,0.05446853516657853,0.8278688524590164,0.4479638009049774,122.0
2.5,0.0,0.04020570359981299,0.7318840579710145,0.4177215189873418,138.0
3.0,0.0,0.039220236713854724,0.7266187050359713,0.42083333333333334,139.0
3.5,0.0,0.029731830547998446,0.608433734939759,0.3782771535580524,166.0
4.0,0.0,0.018621700879765397,0.4590909090909091,0.3146417445482866,220.0
4.5,0.0,0.015253813453363341,0.39147286821705424,0.28133704735376047,258.0
5.0,0.0,0.010213635202995999,0.26649076517150394,0.21041666666666667,379.0
5.5,0.0,0.007438820912124583,0.21767241379310345,0.17876106194690267,464.0
1.0,0.01,0.07142857142857142,0.7214285714285714,0.3721973094170404,140.0
1.5,0.01,0.0685189545561573,0.7372262773722628,0.38839285714285715,137.0
2.0,0.01,0.04990512333965844,0.5941176470588235,0.32806324110671936,170.0
2.5,0.01,0.030631607481702357,0.42436974789915966,0.26993865030674846,238.0
3.0,0.01,0.02347897100857493,0.31962025316455694,0.21975308641975308,316.0
3.5,0.01,0.016738441537336474,0.25440806045340053,0.18813905930470348,397.0
4.0,0.01,0.00939604059893478,0.1573208722741433,0.12534059945504086,642.0
4.5,0.01,0.006917643632126993,0.11399548532731377,0.09406952965235174,886.0
5.0,0.01,0.002671150008641956,0.049196298100340964,0.042890442890442894,2053.0
5.5,0.01,0.0014380859076569086,0.02814154360546113,0.024728260869565217,3589.0
1.0,0.02,0.07059069962295769,0.6558441558441559,0.32158590308370044,154.0
1.5,0.02,0.06981882456915599,0.6917808219178082,0.35398230088495575,146.0
2.0,0.02,0.05271889400921659,0.5771428571428572,0.30278884462151395,175.0
2.5,0.02,0.031890101803017296,0.3840304182509506,0.23323615160349853,263.0
3.0,0.02,0.024731182795698924,0.30606060606060603,0.19117647058823528,330.0
3.5,0.02,0.016907187323146576,0.22149122807017543,0.1524163568773234,456.0
4.0,0.02,0.008518855065879146,0.11854460093896714,0.08681672025723473,852.0
4.5,0.02,0.006623328836011284,0.09600760456273764,0.07638279192273925,1052.0
5.0,0.02,0.002590328632814864,0.03789868667917448,0.031613372093023256,2665.0
5.5,0.02,0.001295973269783554,0.019230769230769232,0.014818983305196024,5252.0
1.0,0.03,0.06867845993756504,0.6516129032258065,0.31718061674008813,155.0
1.5,0.03,0.05598813496477568,0.5804597701149425,0.3203125,174.0
2.0,0.03,0.051830373323667994,0.5674157303370787,0.29365079365079366,178.0
2.5,0.03,0.03123804666581665,0.39920948616600793,0.23333333333333334,253.0
3.0,0.03,0.020853698273053112,0.255050505050505,0.16981132075471697,396.0
3.5,0.03,0.018607488751620528,0.23877068557919623,0.15904572564612326,423.0
4.0,0.03,0.008651873951146746,0.11676300578034682,0.08658922914466737,865.0
4.5,0.03,0.006378234978692179,0.08836395450568679,0.06997558991049634,1143.0
5.0,0.03,0.0027239022421750862,0.03948397185301016,0.03362296939931998,2558.0
5.5,0.03,0.0012959265875100697,0.01827723488961274,0.013742637872568266,5526.0
1.0,0.04,0.06823821339950373,0.6474358974358975,0.30973451327433627,156.0
1.5,0.04,0.06786761625471303,0.6558441558441559,0.32751091703056767,154.0
2.0,0.04,0.04918032786885246,0.5519125683060109,0.28793774319066145,183.0
2.5,0.04,0.034442873666623824,0.40239043824701193,0.22291021671826625,251.0
3.0,0.04,0.024012323305545487,0.28370786516853935,0.17592592592592593,356.0
3.5,0.04,0.01824551160414538,0.22850678733031674,0.15487571701720843,442.0
4.0,0.04,0.00843561058614822,0.11335578002244669,0.08333333333333333,891.0
4.5,0.04,0.006131241714538224,0.08647260273972603,0.0685805422647528,1168.0
5.0,0.04,0.002673730596885599,0.03875671527244819,0.033024118738404454,2606.0
5.5,0.04,0.0013585492848165659,0.018738404452690167,0.013723696248856358,5390.0
1.0,0.05,0.06718717896034518,0.643312101910828,0.31140350877192985,157.0
1.5,0.05,0.0661494487545937,0.6392405063291139,0.3218884120171674,158.0
2.0,0.05,0.05079308501158439,0.5580110497237569,0.29571984435797666,181.0
2.5,0.05,0.031607700312174816,0.40725806451612906,0.2392638036809816,248.0
3.0,0.05,0.02535950252623397,0.3042168674698795,0.18427518427518427,332.0
3.5,0.05,0.01818181818181818,0.22954545454545455,0.15221579961464354,440.0
4.0,0.05,0.00959242319990286,0.12672521957340024,0.09225512528473805,797.0
4.5,0.05,0.006309506892141537,0.08898678414096917,0.07195421095666395,1135.0
5.0,0.05,0.00286888005926325,0.042171189979123176,0.03466344216041919,2395.0
5.5,0.05,0.0013774794630334601,0.019604037267080744,0.01510227489963678,5152.0
1.0,0.06,0.07658688865764829,0.6516129032258065,0.2986425339366516,155.0
1.5,0.06,0.06632837984777093,0.5674157303370787,0.29365079365079366,178.0
2.0,0.06,0.055200966016905294,0.5401069518716578,0.26666666666666666,187.0
2.5,0.06,0.04103324681745149,0.38697318007662834,0.2018348623853211,261.0
3.0,0.06,0.025357499168606586,0.2603092783505155,0.15835140997830802,388.0
3.5,0.06,0.01972079154242342,0.21218487394957983,0.1407942238267148,476.0
4.0,0.06,0.00978494623655914,0.11222222222222222,0.07692307692307693,900.0
4.5,0.06,0.00609199720895282,0.08402662229617304,0.06893880712625872,1202.0
5.0,0.06,0.0027946638640407974,0.03739355794150315,0.031205164992826398,2701.0
5.5,0.06,0.0014139377270801887,0.018679489550582577,0.01332116788321168,5407.0
1.0,0.07,0.12405282528685863,0.6778523489932886,0.2766990291262136,149.0
1.5,0.07,0.09492028179458657,0.5804597701149425,0.27800829875518673,174.0
2.0,0.07,0.11432116270825948,0.554945054945055,0.2571428571428571,182.0
2.5,0.07,0.06734352910936897,0.40239043824701193,0.17973856209150327,251.0
3.0,0.07,0.053402005963675794,0.28291316526610644,0.13349514563106796,357.0
3.5,0.07,0.03186387228171605,0.20570264765784113,0.12321428571428572,491.0
4.0,0.07,0.0234468339307049,0.11689814814814815,0.06290672451193059,864.0
4.5,0.07,0.01270772238514174,0.08744588744588745,0.060211554109031735,1155.0
5.0,0.07,0.006274571064073525,0.04075867635189669,0.025560361777428233,2478.0
5.5,0.07,0.0028845455685591135,0.0206670759156947,0.013524424707307227,4887.0
1.0,0.08,0.182328190743338,0.7318840579710145,0.29949238578680204,138.0
1.5,0.08,0.12381129964572068,0.5838150289017341,0.24782608695652175,173.0
2.0,0.08,0.13440860215053763,0.5260416666666666,0.20987654320987653,192.0
2.5,0.08,0.09911772814998622,0.43162393162393164,0.1958762886597938,234.0
3.0,0.08,0.07541774640335984,0.27977839335180055,0.13842482100238662,361.0
3.5,0.08,0.06018882769472856,0.20528455284552846,0.11669658886894076,492.0
4.0,0.08,0.04350280032996136,0.13593539703903096,0.06775407779171895,743.0
4.5,0.08,0.030346963656133645,0.10316649642492338,0.06583969465648855,979.0
5.0,0.08,0.014361372859206273,0.04307036247334755,0.026567040265670402,2345.0
5.5,0.08,0.006640913568086678,0.024093511450381678,0.01526896875734085,4192.0
1.0,0.09,0.29746367889682346,0.7709923664122137,0.27624309392265195,131.0
1.5,0.09,0.22641509433962265,0.6352201257861635,0.2638888888888889,159.0
2.0,0.09,0.18493401759530792,0.5738636363636364,0.2314410480349345,176.0
2.5,0.09,0.19055861526357198,0.4926829268292683,0.21153846153846154,205.0
3.0,0.09,0.09714928732183045,0.2936046511627907,0.14640198511166252,344.0
3.5,0.09,0.0644494801386297,0.20867768595041322,0.12,484.0
4.0,0.09,0.059809624537281864,0.16557377049180327,0.08132530120481928,610.0
4.5,0.09,0.03724608669970138,0.10274669379450661,0.052986512524084775,983.0
5.0,0.09,0.02243519496303971,0.062384187770228534,0.031119090365050867,1619.0
5.5,0.09,0.012482709013445472,0.034648370497427104,0.015202702702702704,2915.0
1.0,0.1,0.34069478908188583,0.7769230769230769,0.26136363636363635,130.0
1.5,0.1,0.3058542413381123,0.7481481481481481,0.23295454545454544,135.0
2.0,0.1,0.2742878702131673,0.5906432748538012,0.21559633027522937,171.0
2.5,0.1,0.20332798131659613,0.45701357466063347,0.15648854961832062,221.0
3.0,0.1,0.14913510986442263,0.36594202898550726,0.14285714285714285,276.0
3.5,0.1,0.09198413292418232,0.23433874709976799,0.09832635983263599,431.0
4.0,0.1,0.08395293015631403,0.18330308529945555,0.08166666666666667,551.0
4.5,0.1,0.05740649699353326,0.11840562719812427,0.04049493813273341,853.0
5.0,0.1,0.03869453278812661,0.07902973395931143,0.028136882129277566,1278.0
5.5,0.1,0.0204410360212678,0.044631020768890854,0.01949740034662045,2263.0
1.0,0.11,0.44111027756939236,0.7829457364341085,0.26704545454545453,129.0
1.5,0.11,0.30016757436112274,0.6558441558441559,0.2413793103448276,154.0
2.0,0.11,0.285047677013593,0.6352201257861635,0.22815533980582525,159.0
2.5,0.11,0.2512272089761571,0.5489130434782609,0.19298245614035087,184.0
3.0,0.11,0.15604155276107162,0.3423728813559322,0.14985590778097982,295.0
3.5,0.11,0.1307300509337861,0.2657894736842105,0.10377358490566038,380.0
4.0,0.11,0.09022822433213422,0.1846435100548446,0.06495726495726496,547.0
4.5,0.11,0.06363750470691602,0.1309987029831388,0.04932182490752158,771.0
5.0,0.11,0.04158537563139749,0.08367854183927093,0.032852564102564104,1207.0
5.5,0.11,0.024072745376539324,0.04584657285519746,0.0160786065207682,2203.0
1.0,0.12,0.3686635944700461,0.8015873015873016,0.2840909090909091,126.0
1.5,0.12,0.3323888404533566,0.6824324324324325,0.24489795918367346,148.0
2.0,0.12,0.29266862170087976,0.6121212121212121,0.24311926605504589,165.0
2.5,0.12,0.23887096774193547,0.505,0.16666666666666666,200.0
3.0,0.12,0.1956177723676202,0.38113207547169814,0.14790996784565916,265.0
3.5,0.12,0.14758292972676598,0.28611898016997167,0.10632911392405063,353.0
4.0,0.12,0.11147035050334338,0.23006833712984054,0.09670781893004116,439.0
4.5,0.12,0.06464346349745331,0.13289473684210526,0.0594059405940594,760.0
5.0,0.12,0.05474095796676442,0.10202020202020202,0.03696498054474708,990.0
5.5,0.12,0.03271028037383177,0.05899532710280374,0.021714285714285714,1712.0
1.0,0.13,0.3831945889698231,0.8145161290322581,0.2832369942196532,124.0
1.5,0.13,0.3530340627114821,0.7062937062937062,0.27411167512690354,143.0
2.0,0.13,0.322372528616025,0.6516129032258065,0.27230046948356806,155.0
2.5,0.13,0.2628500531726338,0.554945054945055,0.2222222222222222,182.0
3.0,0.13,0.20543959519291588,0.396078431372549,0.1611842105263158,255.0
3.5,0.13,0.1576331582895724,0.2936046511627907,0.1134020618556701,344.0
4.0,0.13,0.14013883217639853,0.25569620253164554,0.10633484162895927,395.0
4.5,0.13,0.08928199791883455,0.1629032258064516,0.06766917293233082,620.0
5.0,0.13,0.0567049057097101,0.10233029381965553,0.03988326848249027,987.0
5.5,0.13,0.04593323449721384,0.08003169572107766,0.025482625482625483,1262.0
1.0,0.14,0.3830005120327701,0.8015873015873016,0.2840909090909091,126.0
1.5,0.14,0.35023041474654376,0.7593984962406015,0.2692307692307692,133.0
2.0,0.14,0.35659425060346717,0.6870748299319728,0.24615384615384617,147.0
2.5,0.14,0.28910856746444674,0.543010752688172,0.22821576763485477,186.0
3.0,0.14,0.18365102639296188,0.38257575757575757,0.1592356687898089,264.0
3.5,0.14,0.15388222055513878,0.2936046511627907,0.12020460358056266,344.0
4.0,0.14,0.14191927378829633,0.2537688442211055,0.1036036036036036,398.0
4.5,0.14,0.10066546356868937,0.17657342657342656,0.0848,572.0
5.0,0.14,0.06809621480514637,0.11676300578034682,0.04419889502762431,865.0
5.5,0.14,0.037988972344028135,0.06796769851951548,0.024294156270518712,1486.0
1.0,0.15,0.4050179211469534,0.8632478632478633,0.3352272727272727,117.0
1.5,0.15,0.3296728437428506,0.7163120567375887,0.29850746268656714,141.0
2.0,0.15,0.35769701919150676,0.6392405063291139,0.2882882882882883,158.0
2.5,0.15,0.29013611784449,0.5838150289017341,0.24782608695652175,173.0
3.0,0.15,0.21948924731182795,0.42083333333333334,0.2079207920792079,240.0
3.5,0.15,0.1787845080392355,0.3166144200626959,0.14016172506738545,319.0
4.0,0.15,0.11805555555555555,0.2337962962962963,0.11293634496919917,432.0
4.5,0.15,0.0756765020639046,0.15955766192733017,0.0718475073313783,633.0
5.0,0.15,0.06440677966101695,0.11412429378531073,0.04838709677419355,885.0
5.5,0.15,0.046331435800126504,0.08251633986928104,0.03622047244094488,1224.0
1.0,0.16,0.47146401985111663,0.8632478632478633,0.3352272727272727,117.0
1.5,0.16,0.3194971537001898,0.7426470588235294,0.3096446700507614,136.0
2.0,0.16,0.374910394265233,0.7481481481481481,0.3076923076923077,135.0
2.5,0.16,0.2666268418956591,0.6234567901234568,0.273542600896861,162.0
3.0,0.16,0.19184369263047468,0.4105691056910569,0.18,246.0
3.5,0.16,0.17089466541392628,0.3268608414239482,0.1510989010989011,309.0
4.0,0.16,0.13593282341203858,0.2603092783505155,0.12612612612612611,388.0
4.5,0.16,0.08454600785702429,0.1732418524871355,0.07313195548489666,583.0
5.0,0.16,0.06474681840901227,0.12038140643623362,0.05090497737556561,839.0
5.5,0.16,0.0342563516985441,0.06875425459496257,0.027796161482461945,1469.0
1 SNR gamma BER FER DFR num_iterations
2 1.0 0.0 0.07585004359197908 0.9099099099099099 0.47393364928909953 111.0
3 1.5 0.0 0.06950146627565983 0.9181818181818182 0.47368421052631576 110.0
4 2.0 0.0 0.05446853516657853 0.8278688524590164 0.4479638009049774 122.0
5 2.5 0.0 0.04020570359981299 0.7318840579710145 0.4177215189873418 138.0
6 3.0 0.0 0.039220236713854724 0.7266187050359713 0.42083333333333334 139.0
7 3.5 0.0 0.029731830547998446 0.608433734939759 0.3782771535580524 166.0
8 4.0 0.0 0.018621700879765397 0.4590909090909091 0.3146417445482866 220.0
9 4.5 0.0 0.015253813453363341 0.39147286821705424 0.28133704735376047 258.0
10 5.0 0.0 0.010213635202995999 0.26649076517150394 0.21041666666666667 379.0
11 5.5 0.0 0.007438820912124583 0.21767241379310345 0.17876106194690267 464.0
12 1.0 0.01 0.07142857142857142 0.7214285714285714 0.3721973094170404 140.0
13 1.5 0.01 0.0685189545561573 0.7372262773722628 0.38839285714285715 137.0
14 2.0 0.01 0.04990512333965844 0.5941176470588235 0.32806324110671936 170.0
15 2.5 0.01 0.030631607481702357 0.42436974789915966 0.26993865030674846 238.0
16 3.0 0.01 0.02347897100857493 0.31962025316455694 0.21975308641975308 316.0
17 3.5 0.01 0.016738441537336474 0.25440806045340053 0.18813905930470348 397.0
18 4.0 0.01 0.00939604059893478 0.1573208722741433 0.12534059945504086 642.0
19 4.5 0.01 0.006917643632126993 0.11399548532731377 0.09406952965235174 886.0
20 5.0 0.01 0.002671150008641956 0.049196298100340964 0.042890442890442894 2053.0
21 5.5 0.01 0.0014380859076569086 0.02814154360546113 0.024728260869565217 3589.0
22 1.0 0.02 0.07059069962295769 0.6558441558441559 0.32158590308370044 154.0
23 1.5 0.02 0.06981882456915599 0.6917808219178082 0.35398230088495575 146.0
24 2.0 0.02 0.05271889400921659 0.5771428571428572 0.30278884462151395 175.0
25 2.5 0.02 0.031890101803017296 0.3840304182509506 0.23323615160349853 263.0
26 3.0 0.02 0.024731182795698924 0.30606060606060603 0.19117647058823528 330.0
27 3.5 0.02 0.016907187323146576 0.22149122807017543 0.1524163568773234 456.0
28 4.0 0.02 0.008518855065879146 0.11854460093896714 0.08681672025723473 852.0
29 4.5 0.02 0.006623328836011284 0.09600760456273764 0.07638279192273925 1052.0
30 5.0 0.02 0.002590328632814864 0.03789868667917448 0.031613372093023256 2665.0
31 5.5 0.02 0.001295973269783554 0.019230769230769232 0.014818983305196024 5252.0
32 1.0 0.03 0.06867845993756504 0.6516129032258065 0.31718061674008813 155.0
33 1.5 0.03 0.05598813496477568 0.5804597701149425 0.3203125 174.0
34 2.0 0.03 0.051830373323667994 0.5674157303370787 0.29365079365079366 178.0
35 2.5 0.03 0.03123804666581665 0.39920948616600793 0.23333333333333334 253.0
36 3.0 0.03 0.020853698273053112 0.255050505050505 0.16981132075471697 396.0
37 3.5 0.03 0.018607488751620528 0.23877068557919623 0.15904572564612326 423.0
38 4.0 0.03 0.008651873951146746 0.11676300578034682 0.08658922914466737 865.0
39 4.5 0.03 0.006378234978692179 0.08836395450568679 0.06997558991049634 1143.0
40 5.0 0.03 0.0027239022421750862 0.03948397185301016 0.03362296939931998 2558.0
41 5.5 0.03 0.0012959265875100697 0.01827723488961274 0.013742637872568266 5526.0
42 1.0 0.04 0.06823821339950373 0.6474358974358975 0.30973451327433627 156.0
43 1.5 0.04 0.06786761625471303 0.6558441558441559 0.32751091703056767 154.0
44 2.0 0.04 0.04918032786885246 0.5519125683060109 0.28793774319066145 183.0
45 2.5 0.04 0.034442873666623824 0.40239043824701193 0.22291021671826625 251.0
46 3.0 0.04 0.024012323305545487 0.28370786516853935 0.17592592592592593 356.0
47 3.5 0.04 0.01824551160414538 0.22850678733031674 0.15487571701720843 442.0
48 4.0 0.04 0.00843561058614822 0.11335578002244669 0.08333333333333333 891.0
49 4.5 0.04 0.006131241714538224 0.08647260273972603 0.0685805422647528 1168.0
50 5.0 0.04 0.002673730596885599 0.03875671527244819 0.033024118738404454 2606.0
51 5.5 0.04 0.0013585492848165659 0.018738404452690167 0.013723696248856358 5390.0
52 1.0 0.05 0.06718717896034518 0.643312101910828 0.31140350877192985 157.0
53 1.5 0.05 0.0661494487545937 0.6392405063291139 0.3218884120171674 158.0
54 2.0 0.05 0.05079308501158439 0.5580110497237569 0.29571984435797666 181.0
55 2.5 0.05 0.031607700312174816 0.40725806451612906 0.2392638036809816 248.0
56 3.0 0.05 0.02535950252623397 0.3042168674698795 0.18427518427518427 332.0
57 3.5 0.05 0.01818181818181818 0.22954545454545455 0.15221579961464354 440.0
58 4.0 0.05 0.00959242319990286 0.12672521957340024 0.09225512528473805 797.0
59 4.5 0.05 0.006309506892141537 0.08898678414096917 0.07195421095666395 1135.0
60 5.0 0.05 0.00286888005926325 0.042171189979123176 0.03466344216041919 2395.0
61 5.5 0.05 0.0013774794630334601 0.019604037267080744 0.01510227489963678 5152.0
62 1.0 0.06 0.07658688865764829 0.6516129032258065 0.2986425339366516 155.0
63 1.5 0.06 0.06632837984777093 0.5674157303370787 0.29365079365079366 178.0
64 2.0 0.06 0.055200966016905294 0.5401069518716578 0.26666666666666666 187.0
65 2.5 0.06 0.04103324681745149 0.38697318007662834 0.2018348623853211 261.0
66 3.0 0.06 0.025357499168606586 0.2603092783505155 0.15835140997830802 388.0
67 3.5 0.06 0.01972079154242342 0.21218487394957983 0.1407942238267148 476.0
68 4.0 0.06 0.00978494623655914 0.11222222222222222 0.07692307692307693 900.0
69 4.5 0.06 0.00609199720895282 0.08402662229617304 0.06893880712625872 1202.0
70 5.0 0.06 0.0027946638640407974 0.03739355794150315 0.031205164992826398 2701.0
71 5.5 0.06 0.0014139377270801887 0.018679489550582577 0.01332116788321168 5407.0
72 1.0 0.07 0.12405282528685863 0.6778523489932886 0.2766990291262136 149.0
73 1.5 0.07 0.09492028179458657 0.5804597701149425 0.27800829875518673 174.0
74 2.0 0.07 0.11432116270825948 0.554945054945055 0.2571428571428571 182.0
75 2.5 0.07 0.06734352910936897 0.40239043824701193 0.17973856209150327 251.0
76 3.0 0.07 0.053402005963675794 0.28291316526610644 0.13349514563106796 357.0
77 3.5 0.07 0.03186387228171605 0.20570264765784113 0.12321428571428572 491.0
78 4.0 0.07 0.0234468339307049 0.11689814814814815 0.06290672451193059 864.0
79 4.5 0.07 0.01270772238514174 0.08744588744588745 0.060211554109031735 1155.0
80 5.0 0.07 0.006274571064073525 0.04075867635189669 0.025560361777428233 2478.0
81 5.5 0.07 0.0028845455685591135 0.0206670759156947 0.013524424707307227 4887.0
82 1.0 0.08 0.182328190743338 0.7318840579710145 0.29949238578680204 138.0
83 1.5 0.08 0.12381129964572068 0.5838150289017341 0.24782608695652175 173.0
84 2.0 0.08 0.13440860215053763 0.5260416666666666 0.20987654320987653 192.0
85 2.5 0.08 0.09911772814998622 0.43162393162393164 0.1958762886597938 234.0
86 3.0 0.08 0.07541774640335984 0.27977839335180055 0.13842482100238662 361.0
87 3.5 0.08 0.06018882769472856 0.20528455284552846 0.11669658886894076 492.0
88 4.0 0.08 0.04350280032996136 0.13593539703903096 0.06775407779171895 743.0
89 4.5 0.08 0.030346963656133645 0.10316649642492338 0.06583969465648855 979.0
90 5.0 0.08 0.014361372859206273 0.04307036247334755 0.026567040265670402 2345.0
91 5.5 0.08 0.006640913568086678 0.024093511450381678 0.01526896875734085 4192.0
92 1.0 0.09 0.29746367889682346 0.7709923664122137 0.27624309392265195 131.0
93 1.5 0.09 0.22641509433962265 0.6352201257861635 0.2638888888888889 159.0
94 2.0 0.09 0.18493401759530792 0.5738636363636364 0.2314410480349345 176.0
95 2.5 0.09 0.19055861526357198 0.4926829268292683 0.21153846153846154 205.0
96 3.0 0.09 0.09714928732183045 0.2936046511627907 0.14640198511166252 344.0
97 3.5 0.09 0.0644494801386297 0.20867768595041322 0.12 484.0
98 4.0 0.09 0.059809624537281864 0.16557377049180327 0.08132530120481928 610.0
99 4.5 0.09 0.03724608669970138 0.10274669379450661 0.052986512524084775 983.0
100 5.0 0.09 0.02243519496303971 0.062384187770228534 0.031119090365050867 1619.0
101 5.5 0.09 0.012482709013445472 0.034648370497427104 0.015202702702702704 2915.0
102 1.0 0.1 0.34069478908188583 0.7769230769230769 0.26136363636363635 130.0
103 1.5 0.1 0.3058542413381123 0.7481481481481481 0.23295454545454544 135.0
104 2.0 0.1 0.2742878702131673 0.5906432748538012 0.21559633027522937 171.0
105 2.5 0.1 0.20332798131659613 0.45701357466063347 0.15648854961832062 221.0
106 3.0 0.1 0.14913510986442263 0.36594202898550726 0.14285714285714285 276.0
107 3.5 0.1 0.09198413292418232 0.23433874709976799 0.09832635983263599 431.0
108 4.0 0.1 0.08395293015631403 0.18330308529945555 0.08166666666666667 551.0
109 4.5 0.1 0.05740649699353326 0.11840562719812427 0.04049493813273341 853.0
110 5.0 0.1 0.03869453278812661 0.07902973395931143 0.028136882129277566 1278.0
111 5.5 0.1 0.0204410360212678 0.044631020768890854 0.01949740034662045 2263.0
112 1.0 0.11 0.44111027756939236 0.7829457364341085 0.26704545454545453 129.0
113 1.5 0.11 0.30016757436112274 0.6558441558441559 0.2413793103448276 154.0
114 2.0 0.11 0.285047677013593 0.6352201257861635 0.22815533980582525 159.0
115 2.5 0.11 0.2512272089761571 0.5489130434782609 0.19298245614035087 184.0
116 3.0 0.11 0.15604155276107162 0.3423728813559322 0.14985590778097982 295.0
117 3.5 0.11 0.1307300509337861 0.2657894736842105 0.10377358490566038 380.0
118 4.0 0.11 0.09022822433213422 0.1846435100548446 0.06495726495726496 547.0
119 4.5 0.11 0.06363750470691602 0.1309987029831388 0.04932182490752158 771.0
120 5.0 0.11 0.04158537563139749 0.08367854183927093 0.032852564102564104 1207.0
121 5.5 0.11 0.024072745376539324 0.04584657285519746 0.0160786065207682 2203.0
122 1.0 0.12 0.3686635944700461 0.8015873015873016 0.2840909090909091 126.0
123 1.5 0.12 0.3323888404533566 0.6824324324324325 0.24489795918367346 148.0
124 2.0 0.12 0.29266862170087976 0.6121212121212121 0.24311926605504589 165.0
125 2.5 0.12 0.23887096774193547 0.505 0.16666666666666666 200.0
126 3.0 0.12 0.1956177723676202 0.38113207547169814 0.14790996784565916 265.0
127 3.5 0.12 0.14758292972676598 0.28611898016997167 0.10632911392405063 353.0
128 4.0 0.12 0.11147035050334338 0.23006833712984054 0.09670781893004116 439.0
129 4.5 0.12 0.06464346349745331 0.13289473684210526 0.0594059405940594 760.0
130 5.0 0.12 0.05474095796676442 0.10202020202020202 0.03696498054474708 990.0
131 5.5 0.12 0.03271028037383177 0.05899532710280374 0.021714285714285714 1712.0
132 1.0 0.13 0.3831945889698231 0.8145161290322581 0.2832369942196532 124.0
133 1.5 0.13 0.3530340627114821 0.7062937062937062 0.27411167512690354 143.0
134 2.0 0.13 0.322372528616025 0.6516129032258065 0.27230046948356806 155.0
135 2.5 0.13 0.2628500531726338 0.554945054945055 0.2222222222222222 182.0
136 3.0 0.13 0.20543959519291588 0.396078431372549 0.1611842105263158 255.0
137 3.5 0.13 0.1576331582895724 0.2936046511627907 0.1134020618556701 344.0
138 4.0 0.13 0.14013883217639853 0.25569620253164554 0.10633484162895927 395.0
139 4.5 0.13 0.08928199791883455 0.1629032258064516 0.06766917293233082 620.0
140 5.0 0.13 0.0567049057097101 0.10233029381965553 0.03988326848249027 987.0
141 5.5 0.13 0.04593323449721384 0.08003169572107766 0.025482625482625483 1262.0
142 1.0 0.14 0.3830005120327701 0.8015873015873016 0.2840909090909091 126.0
143 1.5 0.14 0.35023041474654376 0.7593984962406015 0.2692307692307692 133.0
144 2.0 0.14 0.35659425060346717 0.6870748299319728 0.24615384615384617 147.0
145 2.5 0.14 0.28910856746444674 0.543010752688172 0.22821576763485477 186.0
146 3.0 0.14 0.18365102639296188 0.38257575757575757 0.1592356687898089 264.0
147 3.5 0.14 0.15388222055513878 0.2936046511627907 0.12020460358056266 344.0
148 4.0 0.14 0.14191927378829633 0.2537688442211055 0.1036036036036036 398.0
149 4.5 0.14 0.10066546356868937 0.17657342657342656 0.0848 572.0
150 5.0 0.14 0.06809621480514637 0.11676300578034682 0.04419889502762431 865.0
151 5.5 0.14 0.037988972344028135 0.06796769851951548 0.024294156270518712 1486.0
152 1.0 0.15 0.4050179211469534 0.8632478632478633 0.3352272727272727 117.0
153 1.5 0.15 0.3296728437428506 0.7163120567375887 0.29850746268656714 141.0
154 2.0 0.15 0.35769701919150676 0.6392405063291139 0.2882882882882883 158.0
155 2.5 0.15 0.29013611784449 0.5838150289017341 0.24782608695652175 173.0
156 3.0 0.15 0.21948924731182795 0.42083333333333334 0.2079207920792079 240.0
157 3.5 0.15 0.1787845080392355 0.3166144200626959 0.14016172506738545 319.0
158 4.0 0.15 0.11805555555555555 0.2337962962962963 0.11293634496919917 432.0
159 4.5 0.15 0.0756765020639046 0.15955766192733017 0.0718475073313783 633.0
160 5.0 0.15 0.06440677966101695 0.11412429378531073 0.04838709677419355 885.0
161 5.5 0.15 0.046331435800126504 0.08251633986928104 0.03622047244094488 1224.0
162 1.0 0.16 0.47146401985111663 0.8632478632478633 0.3352272727272727 117.0
163 1.5 0.16 0.3194971537001898 0.7426470588235294 0.3096446700507614 136.0
164 2.0 0.16 0.374910394265233 0.7481481481481481 0.3076923076923077 135.0
165 2.5 0.16 0.2666268418956591 0.6234567901234568 0.273542600896861 162.0
166 3.0 0.16 0.19184369263047468 0.4105691056910569 0.18 246.0
167 3.5 0.16 0.17089466541392628 0.3268608414239482 0.1510989010989011 309.0
168 4.0 0.16 0.13593282341203858 0.2603092783505155 0.12612612612612611 388.0
169 4.5 0.16 0.08454600785702429 0.1732418524871355 0.07313195548489666 583.0
170 5.0 0.16 0.06474681840901227 0.12038140643623362 0.05090497737556561 839.0
171 5.5 0.16 0.0342563516985441 0.06875425459496257 0.027796161482461945 1469.0

View File

@@ -0,0 +1,8 @@
{
"duration": 1.805683234008029,
"name": "2d_BER_FER_DFR_bch_31_26",
"platform": "Linux-6.1.6-arch1-3-x86_64-with-glibc2.36",
"omega": 0.05,
"K": 200,
"end_time": "2023-01-23 21:32:02.418445"
}

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@@ -0,0 +1,171 @@
SNR,gamma,BER,FER,DFR,num_iterations
1.0,0.0,0.1312863429200063,1.0,0.5,101.0
1.5,0.0,0.11871365707999372,1.0,0.5,101.0
2.0,0.0,0.10225129655822725,1.0,0.5,101.0
2.5,0.0,0.08777306302058778,1.0,0.5,101.0
3.0,0.0,0.07916863114882917,1.0,0.5,101.0
3.5,0.0,0.06628162816281628,1.0,0.5,101.0
4.0,0.0,0.0575003928964325,1.0,0.5,101.0
4.5,0.0,0.04712792707842213,1.0,0.5,101.0
5.0,0.0,0.0374037403740374,1.0,0.5,101.0
5.5,0.0,0.02813138456702813,1.0,0.5,101.0
1.0,0.01,0.09604353292472104,1.0,0.5,101.0
1.5,0.01,0.07582901147257583,1.0,0.5,101.0
2.0,0.01,0.052353449630677354,1.0,0.5,101.0
2.5,0.01,0.03571428571428571,1.0,0.5,101.0
3.0,0.01,0.02585144089998459,0.9805825242718447,0.4950980392156863,103.0
3.5,0.01,0.016099773242630386,0.9619047619047619,0.49029126213592233,105.0
4.0,0.01,0.007404181184668989,0.8211382113821138,0.45089285714285715,123.0
4.5,0.01,0.0036620615324319027,0.6234567901234568,0.3840304182509506,162.0
5.0,0.01,0.001527403414195867,0.38113207547169814,0.27595628415300544,265.0
5.5,0.01,0.0006792852537533388,0.195357833655706,0.1634304207119741,517.0
1.0,0.02,0.09343077164859342,1.0,0.5,101.0
1.5,0.02,0.0722929435800723,1.0,0.5,101.0
2.0,0.02,0.044915188297541236,0.9901960784313726,0.4975369458128079,102.0
2.5,0.02,0.02819349962207105,0.9619047619047619,0.49029126213592233,105.0
3.0,0.02,0.018664840567495435,0.8938053097345132,0.4719626168224299,113.0
3.5,0.02,0.008126074208876757,0.643312101910828,0.39147286821705424,157.0
4.0,0.02,0.002737974622473103,0.3069908814589666,0.23488372093023255,329.0
4.5,0.02,0.0009405074365704287,0.15905511811023623,0.13722826086956522,635.0
5.0,0.02,0.00024244498638029634,0.04537286612758311,0.04340352385045122,2226.0
5.5,0.02,7.243867243867244e-05,0.014690909090909091,0.014478211009174312,6875.0
1.0,0.03,0.09374508879459374,1.0,0.5,101.0
1.5,0.03,0.07115354392582116,1.0,0.5,101.0
2.0,0.03,0.043378462496109556,0.9901960784313726,0.4975369458128079,102.0
2.5,0.03,0.02515527950310559,0.8782608695652174,0.4675925925925926,115.0
3.0,0.03,0.013712220047836485,0.6917808219178082,0.4089068825910931,146.0
3.5,0.03,0.00570959748174938,0.42616033755274263,0.2988165680473373,237.0
4.0,0.03,0.0013284775189537094,0.14574314574314573,0.12720403022670027,693.0
4.5,0.03,0.0004781593677045538,0.0596574128765505,0.05629877369007804,1693.0
5.0,0.03,8.25122686274828e-05,0.011475968639927281,0.01134576499662997,8801.0
5.5,0.03,1.9686505446046404e-05,0.00301843937718538,0.0030093558190811037,33461.0
1.0,0.04,0.09457017130284456,1.0,0.5,101.0
1.5,0.04,0.07156608517994656,1.0,0.5,101.0
2.0,0.04,0.042582417582417584,0.9711538461538461,0.4926829268292683,104.0
2.5,0.04,0.022123015873015874,0.8416666666666667,0.45701357466063347,120.0
3.0,0.04,0.01188195584747309,0.5804597701149425,0.36727272727272725,174.0
3.5,0.04,0.004222174981103552,0.3005952380952381,0.2311212814645309,336.0
4.0,0.04,0.0009012151869294727,0.0924908424908425,0.08466051969823973,1092.0
4.5,0.04,0.00033092973839133315,0.036942209217264085,0.03562610229276896,2734.0
5.0,0.04,5.291338079563754e-05,0.006352600792502673,0.0063125,15899.0
5.5,0.04,1.191919191919192e-05,0.001469090909090909,0.0014669358469739002,68750.0
1.0,0.05,0.09504164702184505,1.0,0.5,101.0
1.5,0.05,0.07347163287757347,1.0,0.5,101.0
2.0,0.05,0.04208638583638584,0.9711538461538461,0.4926829268292683,104.0
2.5,0.05,0.023059617547806523,0.7952755905511811,0.44298245614035087,127.0
3.0,0.05,0.010484749455337691,0.4950980392156863,0.33114754098360655,204.0
3.5,0.05,0.0037675070028011202,0.2376470588235294,0.1920152091254753,425.0
4.0,0.05,0.0008795184740562892,0.07072829131652661,0.06605624591236102,1428.0
4.5,0.05,0.0002754500310366232,0.028212290502793298,0.02743819614235262,3580.0
5.0,0.05,4.450739983899932e-05,0.004690692922162363,0.00466879304765867,21532.0
5.5,0.05,1.10331208907129e-05,0.0012452993033721718,0.0012437504617885378,81105.0
1.0,0.06,0.09594530881659595,1.0,0.5,101.0
1.5,0.06,0.07488606003457489,1.0,0.5,101.0
2.0,0.06,0.04673721340388007,0.9351851851851852,0.48325358851674644,108.0
2.5,0.06,0.02305586317214224,0.7829457364341085,0.4391304347826087,129.0
3.0,0.06,0.010818216175359033,0.48095238095238096,0.3247588424437299,210.0
3.5,0.06,0.003532713898567557,0.22394678492239467,0.18297101449275363,451.0
4.0,0.06,0.0008638644324529016,0.06693174287607687,0.06273291925465839,1509.0
4.5,0.06,0.0002779138561254098,0.02664204695331047,0.025950668036998973,3791.0
5.0,0.06,4.3710114520500044e-05,0.004674411070486416,0.0046526626128616175,21607.0
5.5,0.06,1.069084023682721e-05,0.0011830576769901139,0.0011816597054040458,85372.0
1.0,0.07,0.09735973597359736,1.0,0.5,101.0
1.5,0.07,0.07594148770619359,0.9901960784313726,0.4975369458128079,102.0
2.0,0.07,0.047746468618028254,0.926605504587156,0.48095238095238096,109.0
2.5,0.07,0.02316849816849817,0.7769230769230769,0.43722943722943725,130.0
3.0,0.07,0.010128578360019408,0.4410480349344978,0.30606060606060603,229.0
3.5,0.07,0.003671482838149505,0.21581196581196582,0.17750439367311072,468.0
4.0,0.07,0.0008624471564170057,0.06344221105527638,0.0596574128765505,1592.0
4.5,0.07,0.0002759316166019518,0.02526263131565783,0.02464015613564284,3998.0
5.0,0.07,4.360139046240681e-05,0.004474768508262815,0.004454834156669019,22571.0
5.5,0.07,1.073840582583297e-05,0.0011680081413636785,0.001166645489933351,86472.0
1.0,0.08,0.09635785007072135,1.0,0.5,101.0
1.5,0.08,0.07675848117024588,0.9901960784313726,0.4975369458128079,102.0
2.0,0.08,0.048868312757201646,0.9351851851851852,0.48325358851674644,108.0
2.5,0.08,0.023825146856642918,0.7952755905511811,0.44298245614035087,127.0
3.0,0.08,0.010608117516012252,0.44298245614035087,0.3069908814589666,228.0
3.5,0.08,0.003591674765144153,0.20612244897959184,0.17089678510998307,490.0
4.0,0.08,0.0008916259732719562,0.0659699542782495,0.061887254901960786,1531.0
4.5,0.08,0.0002860050311603272,0.02681178656756039,0.02611168562564633,3767.0
5.0,0.08,4.66066981438279e-05,0.004726030602217959,0.004703800298062593,21371.0
5.5,0.08,1.0967098516175105e-05,0.001198002538342012,0.001196569045588096,84307.0
1.0,0.09,0.09704541882759704,1.0,0.5,101.0
1.5,0.09,0.07716697790227202,0.9901960784313726,0.4975369458128079,102.0
2.0,0.09,0.04908877131099353,0.9351851851851852,0.48325358851674644,108.0
2.5,0.09,0.024021567914697686,0.7709923664122137,0.4353448275862069,131.0
3.0,0.09,0.010953843903152658,0.46543778801843316,0.31761006289308175,217.0
3.5,0.09,0.0037598372682406296,0.21218487394957983,0.17504332755632582,476.0
4.0,0.09,0.00093346911065852,0.06856754921928038,0.06416772554002541,1473.0
4.5,0.09,0.00029212212589521295,0.026649076517150396,0.02595733744538679,3790.0
5.0,0.09,4.528625330258286e-05,0.00468547040267211,0.004663619153160641,21556.0
5.5,0.09,1.1665886604377842e-05,0.001274335389934012,0.0012727135260465234,79257.0
1.0,0.1,0.09781156687097281,1.0,0.5,101.0
1.5,0.1,0.07878151260504201,0.9901960784313726,0.4975369458128079,102.0
2.0,0.1,0.050356407995296885,0.9351851851851852,0.48325358851674644,108.0
2.5,0.1,0.024733430267781412,0.7709923664122137,0.4353448275862069,131.0
3.0,0.1,0.01115376056964842,0.4719626168224299,0.32063492063492066,214.0
3.5,0.1,0.004183347380250035,0.2234513274336283,0.18264014466546113,452.0
4.0,0.1,0.0009818919593355684,0.06903622693096377,0.06457800511508952,1463.0
4.5,0.1,0.00028640956963505495,0.025136884021901444,0.024520514688031077,4018.0
5.0,0.1,5.0714447353958554e-05,0.005142566191446029,0.0051162555088394715,19640.0
5.5,0.1,1.274593993205766e-05,0.0013746172167403879,0.0013727302381211265,73475.0
1.0,0.11,0.09948137670909948,1.0,0.5,101.0
1.5,0.11,0.08088235294117647,0.9901960784313726,0.4975369458128079,102.0
2.0,0.11,0.0522854203409759,0.9351851851851852,0.48325358851674644,108.0
2.5,0.11,0.02676151761517615,0.8211382113821138,0.45089285714285715,123.0
3.0,0.11,0.013256584685156114,0.554945054945055,0.3568904593639576,182.0
3.5,0.11,0.004815305859389386,0.23433874709976799,0.18984962406015038,431.0
4.0,0.11,0.0013205055649877383,0.08573853989813243,0.07896794370602032,1178.0
4.5,0.11,0.0003229729502263967,0.0267762460233298,0.026077975729408728,3772.0
5.0,0.11,7.112767529434196e-05,0.006318818818818819,0.006279142057817843,15984.0
5.5,0.11,1.5814038471768328e-05,0.001471659624071106,0.001469497024632262,68630.0
1.0,0.12,0.10885195662423386,1.0,0.5,101.0
1.5,0.12,0.08868269530034235,0.9901960784313726,0.4975369458128079,102.0
2.0,0.12,0.062082777036048066,0.9439252336448598,0.4855769230769231,107.0
2.5,0.12,0.038088454755121424,0.8632478632478633,0.463302752293578,117.0
3.0,0.12,0.02053627477356291,0.5706214689265536,0.36330935251798563,177.0
3.5,0.12,0.010105535643170052,0.36200716845878134,0.2657894736842105,279.0
4.0,0.12,0.0038131991822295728,0.14616497829232997,0.1275252525252525,691.0
4.5,0.12,0.0013144700111120146,0.05748434832100171,0.05435952637244349,1757.0
5.0,0.12,0.0005196623974662855,0.021576586199530016,0.02112086992890004,4681.0
5.5,0.12,0.00024497833917330085,0.010056755949417505,0.009956624605678234,10043.0
1.0,0.13,0.1617161716171617,1.0,0.5,101.0
1.5,0.13,0.14002828854314003,1.0,0.5,101.0
2.0,0.13,0.1191065535124941,1.0,0.5,101.0
2.5,0.13,0.10058148672010059,1.0,0.5,101.0
3.0,0.13,0.08352785558667912,0.9901960784313726,0.4975369458128079,102.0
3.5,0.13,0.07389900404606287,0.9901960784313726,0.4975369458128079,102.0
4.0,0.13,0.06744177421747516,0.9439252336448598,0.4855769230769231,107.0
4.5,0.13,0.06986416361416362,0.9711538461538461,0.4926829268292683,104.0
5.0,0.13,0.0639703798185941,0.9017857142857143,0.47417840375586856,112.0
5.5,0.13,0.06373572820941242,0.8859649122807017,0.4697674418604651,114.0
1.0,0.14,0.25830975954738333,1.0,0.5,101.0
1.5,0.14,0.24825161087537326,1.0,0.5,101.0
2.0,0.14,0.23167138142385668,1.0,0.5,101.0
2.5,0.14,0.22012022630834513,1.0,0.5,101.0
3.0,0.14,0.2189022473675939,1.0,0.5,101.0
3.5,0.14,0.20825475404683325,1.0,0.5,101.0
4.0,0.14,0.20562234794908063,1.0,0.5,101.0
4.5,0.14,0.20226308345120225,1.0,0.5,101.0
5.0,0.14,0.20297029702970298,1.0,0.5,101.0
5.5,0.14,0.20365786578657866,1.0,0.5,101.0
1.0,0.15,0.34252710985384255,1.0,0.5,101.0
1.5,0.15,0.32993477919220493,1.0,0.5,101.0
2.0,0.15,0.32315731573157314,1.0,0.5,101.0
2.5,0.15,0.31337419456231336,1.0,0.5,101.0
3.0,0.15,0.3100935093509351,1.0,0.5,101.0
3.5,0.15,0.3085022787993085,1.0,0.5,101.0
4.0,0.15,0.30484834197705485,1.0,0.5,101.0
4.5,0.15,0.3024909633820525,1.0,0.5,101.0
5.0,0.15,0.30286421499292787,1.0,0.5,101.0
5.5,0.15,0.30934700612918437,1.0,0.5,101.0
1.0,0.16,0.41167688197391167,1.0,0.5,101.0
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1 SNR gamma BER FER DFR num_iterations
2 1.0 0.0 0.1312863429200063 1.0 0.5 101.0
3 1.5 0.0 0.11871365707999372 1.0 0.5 101.0
4 2.0 0.0 0.10225129655822725 1.0 0.5 101.0
5 2.5 0.0 0.08777306302058778 1.0 0.5 101.0
6 3.0 0.0 0.07916863114882917 1.0 0.5 101.0
7 3.5 0.0 0.06628162816281628 1.0 0.5 101.0
8 4.0 0.0 0.0575003928964325 1.0 0.5 101.0
9 4.5 0.0 0.04712792707842213 1.0 0.5 101.0
10 5.0 0.0 0.0374037403740374 1.0 0.5 101.0
11 5.5 0.0 0.02813138456702813 1.0 0.5 101.0
12 1.0 0.01 0.09604353292472104 1.0 0.5 101.0
13 1.5 0.01 0.07582901147257583 1.0 0.5 101.0
14 2.0 0.01 0.052353449630677354 1.0 0.5 101.0
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31 5.5 0.02 7.243867243867244e-05 0.014690909090909091 0.014478211009174312 6875.0
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71 5.5 0.06 1.069084023682721e-05 0.0011830576769901139 0.0011816597054040458 85372.0
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81 5.5 0.07 1.073840582583297e-05 0.0011680081413636785 0.001166645489933351 86472.0
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View File

@@ -0,0 +1,8 @@
{
"duration": 3634.816580417013,
"name": "2d_BER_FER_DFR_pegreg252x504",
"platform": "Linux-6.1.6-arch1-3-x86_64-with-glibc2.36",
"omega": 0.05,
"K": 200,
"end_time": "2023-01-23 23:15:08.602126"
}

View File

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181,1.1207524925691823,0.9633458285398676,1.0555816038167465,0.8422416128751424,0.7517868227597514,-0.7303154961489378,-0.9536644352093577,-0.36651002968414503,-0.5405354820907565,0.3473664655843396,0.4900041558395676,0.7595785385262397,-0.2844028332847728,-0.8695978898905254,0.366511240799375,0.5405318024584698,-0.34736493111833566,-0.49000529592193054,-0.7595931049785081,0.28437801476952473,0.8695979014470463
182,1.102426878212197,0.9363193975918884,1.0729497840878575,0.8667419278813925,0.7897671063882463,-0.7445333243139891,-0.9971443307813446,-0.36651009023990655,-0.5405352981091422,0.34736638886103943,0.4900042128436858,0.7595792668488531,-0.2844015923590103,-0.8695978904683515,0.3665111365802336,0.5405321146102539,-0.3473650631649228,-0.49000521704675715,-0.7595918344402424,0.28438014089051333,0.8695979004610437
183,1.1207524350412088,0.9633460033224012,1.0555815309296113,0.8422416670290547,0.7517875146662342,-0.7303143172694635,-0.9536644357582924,-0.36651009023990655,-0.5405352981091422,0.34736638886103943,0.4900042128436858,0.7595792668488531,-0.2844015923590103,-0.8695978904683515,0.3665111365802336,0.5405321146102539,-0.3473650631649228,-0.49000521704675715,-0.7595918344402424,0.28438014089051333,0.8695979004610437
184,1.1024268330128233,0.9363195352916789,1.0729497268210841,0.8667419720336945,0.7897676485919017,-0.7445323972779273,-0.9971443312133494,-0.36651014255692305,-0.5405351389341979,0.34736632257623357,0.49000426305383926,0.7595798952284226,-0.28440051978558545,-0.869597890967986,0.3665110465443977,0.5405323849383885,-0.34736517724076393,-0.4900051460998817,-0.7595907393015308,0.2843819790643498,0.8695978996080844
185,1.1207523853400432,0.9633461545385983,1.0555814679590458,0.8422417147287005,0.7517881116268252,-0.7303132983247098,-0.9536644362329453,-0.36651014255692305,-0.5405351389341979,0.34736632257623357,0.49000426305383926,0.7595798952284226,-0.28440051978558545,-0.869597890967986,0.3665110465443977,0.5405323849383885,-0.34736517724076393,-0.4900051460998817,-0.7595907393015308,0.2843819790643498,0.8695978996080844
186,1.1024267939625876,0.9363196544030299,1.0729496773452312,0.8667420108009384,0.789768116480132,-0.7445315960512756,-0.9971443315868631,-0.36651018775629685,-0.5405350012344075,0.34736626530946024,0.4900043072061413,0.759580437432078,-0.28439959274952364,-0.8695978913999909,0.36651096876100875,0.5405326190073874,-0.3473652757924011,-0.49000508255102027,-0.7595897951966846,0.28438356821649013,0.8695978988702637
187,1.120752342400638,0.9633462853533993,1.0555814135556112,0.8422417566733874,0.7517886267202978,-0.7303124176404511,-0.9536644366433499,-0.36651018775629685,-0.5405350012344075,0.34736626530946024,0.4900043072061413,0.759580437432078,-0.28439959274952364,-0.8695978913999909,0.36651096876100875,0.5405326190073874,-0.3473652757924011,-0.49000508255102027,-0.7595897951966846,0.28438356821649013,0.8695978988702637
188,1.102426760224804,0.9363197574267208,1.0729496346002072,0.8667420447940105,0.7897685202728186,-0.7445309035763512,-0.9971443319097917,-0.36651022680653256,-0.5405348821230564,0.3473662158336073,0.49000434597338516,0.7595809053203083,-0.28439879152287195,-0.8695978917735045,0.36651090156220567,0.5405328216492379,-0.3473653609331305,-0.49000502583482747,-0.7595889811740406,0.2843849420243856,0.8695978982320749
189,1.1207523053029143,0.9633463985091827,1.0555813665535507,0.8422417935022691,0.7517890712141166,-0.730311656475132,-0.9536644369981879,-0.36651022680653256,-0.5405348821230564,0.3473662158336073,0.49000434597338516,0.7595809053203083,-0.28439879152287195,-0.8695978917735045,0.36651090156220567,0.5405328216492379,-0.3473653609331305,-0.49000502583482747,-0.7595889811740406,0.2843849420243856,0.8695978982320749
190,1.1024267310766567,0.9363198465287759,1.072949597670199,0.866742074564518,0.7897688687777688,-0.7445303051050691,-0.997144332188975,-0.36651026054431624,-0.5405347790993655,0.3473661730885833,0.4900043799664573,0.7595813091129949,-0.28439809904794755,-0.8695978920964331,0.36651084350726015,0.5405329970582646,-0.3473654344884211,-0.4900049753766069,-0.7595882792119973,0.2843861296223049,0.8695978976800982
191,1.1207522732520196,0.9633464963816891,1.055581325945778,0.8422418257956876,0.7517894548171689,-0.7303109986239539,-0.9536644373049701,-0.36651026054431624,-0.5405347790993655,0.3473661730885833,0.4900043799664573,0.7595813091129949,-0.28439809904794755,-0.8695978920964331,0.36651084350726015,0.5405329970582646,-0.3473654344884211,-0.4900049753766069,-0.7595882792119973,0.2843861296223049,0.8695978976800982
192,1.1024267058936976,0.9363199235849402,1.0729495657640284,0.8667421006081913,0.7897691695871071,-0.7445297878868368,-0.99714433243033,-0.36651028969246346,-0.5405346899973105,0.34736613615857515,0.4900044097369648,0.759581657617945,-0.28439750057666546,-0.8695978923756165,0.36651079335164505,0.5405331488740235,-0.34736549803516126,-0.49000493061042977,-0.7595876738047111,0.28438715621201727,0.8695978972027159
193,1.12075224556128,0.9633465810286413,1.0555812908622704,0.8422418540776698,0.7517897858968715,-0.7303104300762359,-0.9536644375701941,-0.36651028969246346,-0.5405346899973105,0.34736613615857515,0.4900044097369648,0.759581657617945,-0.28439750057666546,-0.8695978923756165,0.36651079335164505,0.5405331488740235,-0.34736549803516126,-0.49000493061042977,-0.7595876738047111,0.28438715621201727,0.8695978972027159
194,1.1024266841364554,0.9363199902193134,1.0729495381981846,0.8667421233687349,0.7897694292461049,-0.744529340898506,-0.9971443326389748,-0.3665103148754225,-0.5405346129411461,0.34736610425240455,0.4900044357806381,0.7595819584272834,-0.2843969833584331,-0.8695978926169714,0.3665107500202689,0.5405332802536809,-0.3473655529355296,-0.4900048909915094,-0.7595871516072413,0.2843880435918176,0.8695978967898677
195,1.1207522216374688,0.9633466542319975,1.055581260551408,0.8422418788191595,0.7517900716657429,-0.7303099387189151,-0.9536644377994814,-0.3665103148754225,-0.5405346129411461,0.34736610425240455,0.4900044357806381,0.7595819584272834,-0.2843969833584331,-0.8695978926169714,0.3665107500202689,0.5405332802536809,-0.3473655529355296,-0.4900048909915094,-0.7595871516072413,0.2843880435918176,0.8695978967898677
196,1.1024266653388672,0.936320047837895,1.0729495143821681,0.866742143241888,0.7897696533983634,-0.7445289546107378,-0.9971443328193366,-0.36651033663266475,-0.5405345463067729,0.3473660766865607,0.4900044585411817,0.7595822180862812,-0.2843965363701023,-0.8695978928256163,0.3665107125844249,0.5405333939351402,-0.34736560036623026,-0.49000485600424487,-0.7595867011314503,0.28438881061473653,0.8695978964328499
197,1.1207522009680886,0.9633467175346521,1.0555812343638566,0.8422419004416758,0.7517903183417909,-0.7303095140800009,-0.9536644379976941,-0.36651033663266475,-0.5405345463067729,0.3473660766865607,0.4900044585411817,0.7595822180862812,-0.2843965363701023,-0.8695978928256163,0.3665107125844249,0.5405333939351402,-0.34736560036623026,-0.49000485600424487,-0.7595867011314503,0.28438881061473653,0.8695978964328499
198,1.1024266490982888,0.9363200976577005,1.0729494938058304,0.8667421605795229,0.7897698469106992,-0.7445286207858874,-0.9971443329752442,-0.3665103554302529,-0.5405344886881913,0.34736605287054423,0.4900044784143348,0.7595824422385397,-0.2843961500823341,-0.869597893005978,0.366510680241824,0.5405334922920815,-0.3473656413437877,-0.49000482516703114,-0.7595863124852563,0.28438947358532696,0.8695978961241292
199,1.12075218311038,0.9633467722723046,1.055581211738641,0.8422419193211713,0.7517905312864364,-0.7303091471066211,-0.9536644381690377,-0.3665103554302529,-0.5405344886881913,0.34736605287054423,0.4900044784143348,0.7595824422385397,-0.2843961500823341,-0.869597893005978,0.366510680241824,0.5405334922920815,-0.3473656413437877,-0.49000482516703114,-0.7595863124852563,0.28438947358532696,0.8695978961241292
1 k comb_r_s_0 comb_r_s_1 comb_r_s_2 comb_r_s_3 comb_r_s_4 comb_r_s_5 comb_r_s_6 grad_L_0 grad_L_1 grad_L_2 grad_L_3 grad_L_4 grad_L_5 grad_L_6 grad_h_0 grad_h_1 grad_h_2 grad_h_3 grad_h_4 grad_h_5 grad_h_6
2 0 0.08805708346976929 0.08853067762029265 0.04352566654166252 0.022603068884266542 0.0018130511473856343 -0.02760532281999922 -0.007652734528234166 -1.4689370207691201 -1.4768545365260863 -0.7255834615116239 -0.3767376648275532 -0.0301872111598237 0.46013280452840366 0.12754643981335856 -0.2922046486262654 -0.2937590158797666 -0.14492986932162633 -0.07532371285777759 -0.0060738117878889825 0.0919736518715807 0.025508250751324756
3 1 0.07344685103845601 0.07384272682630431 0.0362791730755812 0.018836883241377663 0.0015093605579911851 -0.023006640226420183 -0.006377321990667928 -1.4689370207691201 -1.4768545365260863 -0.7255834615116239 -0.3767376648275532 -0.0301872111598237 0.46013280452840366 0.12754643981335856 -0.2922046486262654 -0.2937590158797666 -0.14492986932162633 -0.07532371285777759 -0.0060738117878889825 0.0919736518715807 0.025508250751324756
4 2 0.18774683330654204 0.18874753656214982 0.09306275341377224 0.048360087399189934 0.0038959244011348313 -0.059052113865004655 -0.016376396614355193 -1.3808799372993508 -1.3883238589057938 -0.6820577949699613 -0.35413459594328667 -0.028374160012438067 0.43252748170840444 0.11989370528512439 -0.6129150594361042 -0.6160133199313491 -0.30868394247223313 -0.16100577435518115 -0.013283305062545873 0.19640833919170433 0.054579536437296086
5 3 0.15710108033473683 0.15794687056558235 0.07762855629016058 0.04030979868143088 0.0032317591480075375 -0.04923169690541944 -0.013647419792490387 -1.3808799372993508 -1.3883238589057938 -0.6820577949699613 -0.35413459594328667 -0.028374160012438067 0.43252748170840444 0.11989370528512439 -0.6129150594361042 -0.6160133199313491 -0.30868394247223313 -0.16100577435518115 -0.013283305062545873 0.19640833919170433 0.054579536437296086
6 4 0.29897859318098574 0.3005360650043911 0.14924733479403393 0.07768632498018842 0.006326307764172373 -0.09481983341589277 -0.026319789001326463 -1.2811901874625782 -1.2881069999639365 -0.6325207080978517 -0.32837757742836327 -0.02629128675868887 0.401080690663399 0.11117004319900337 -0.9434450100262953 -0.94766356888089 -0.49117091950738223 -0.25814717419160643 -0.02231638050206197 0.3142737003543633 0.08769780454042204
7 5 0.25180634267967095 0.2531528865603466 0.12468878881866483 0.0647789662706081 0.005210488739069275 -0.0791061483981746 -0.02193489877430536 -1.2811901874625782 -1.2881069999639365 -0.6325207080978517 -0.32837757742836327 -0.02629128675868887 0.401080690663399 0.11117004319900337 -0.9434450100262953 -0.94766356888089 -0.49117091950738223 -0.25814717419160643 -0.02231638050206197 0.3142737003543633 0.08769780454042204
8 6 0.41984789037104614 0.4219336231690922 0.21257273107990832 0.11102503041987913 0.009237073721370202 -0.13538836094858386 -0.03765134537035457 -1.1699584275881345 -1.1763184715216952 -0.5763361267175899 -0.2990513398473648 -0.023860903395651327 0.3653129711125109 0.1012266508120321 -1.2474275162130732 -1.2516326917723266 -0.6901717989998979 -0.36772276894644934 -0.03435441574830522 0.44605757954131103 0.1254044765685299
9 7 0.3574765145603925 0.3593519885804759 0.17806414112991342 0.09263889197255666 0.007519352933954939 -0.11308548197151831 -0.03138112154192807 -1.1699584275881345 -1.1763184715216952 -0.5763361267175899 -0.2990513398473648 -0.023860903395651327 0.3653129711125109 0.1012266508120321 -1.2474275162130732 -1.2516326917723266 -0.6901717989998979 -0.36772276894644934 -0.03435441574830522 0.44605757954131103 0.1254044765685299
10 8 0.5457221103914068 0.548205268264522 0.2832246290727741 0.14883061760370828 0.012849191603145932 -0.18119311089850776 -0.05056138265434684 -1.049089130398074 -1.0549209133569941 -0.5130107304317155 -0.2657126344076741 -0.0209501374384535 0.3247444435798198 0.08989509444300399 -1.468395270009139 -1.4705119885516025 -0.9000272294256007 -0.49039910926890906 -0.051292220197061124 0.591350555418658 0.16830565123684146
11 9 0.47230234689094985 0.4746796688369419 0.2382232676014941 0.12431066214026283 0.010284580593292876 -0.15162558312757485 -0.04214610009250477 -1.049089130398074 -1.0549209133569941 -0.5130107304317155 -0.2657126344076741 -0.0209501374384535 0.3247444435798198 0.08989509444300399 -1.468395270009139 -1.4705119885516025 -0.9000272294256007 -0.49039910926890906 -0.051292220197061124 0.591350555418658 0.16830565123684146
12 10 0.6688566188623306 0.6714707327355256 0.3608482639332921 0.19153864272458226 0.017511945046416434 -0.2325525108451569 -0.06526515465211961 -0.9232149103777133 -0.9286492682615644 -0.44235883243884977 -0.22790704722384494 -0.01733801955667777 0.2789396936298959 0.07698505715901172 -1.5394752590407623 -1.5366600211585102 -1.1101138647715099 -0.6262534551936346 -0.07591704930873225 0.7482483053030868 0.2170903827964437
13 11 0.5918828559102925 0.5946377316776001 0.3053425706947166 0.16022596996490052 0.01371609258097982 -0.19514009558000256 -0.054410635512297426 -0.9232149103777133 -0.9286492682615644 -0.44235883243884977 -0.22790704722384494 -0.01733801955667777 0.2789396936298959 0.07698505715901172 -1.5394752590407623 -1.5366600211585102 -1.1101138647715099 -0.6262534551936346 -0.07591704930873225 0.7482483053030868 0.2170903827964437
14 12 0.7795342543542535 0.7818908569357114 0.4442678075051342 0.2395167521703309 0.023739871384216422 -0.2895601883331639 -0.08200811703190672 -0.8000804019067895 -0.8053838037905607 -0.3647351975783318 -0.18519902210297096 -0.012675266113407267 0.22758029368324675 0.062281285161238945 -1.4134723079316698 -1.403018680213155 -1.3036556738585103 -0.7743631668120016 -0.11188326064259249 0.9125732560768929 0.27257796243450305
15 13 0.70886063895767 0.7117399229250536 0.3790850238122087 0.2007985938297308 0.018145708352086797 -0.24393152552931924 -0.06837921891018156 -0.8000804019067895 -0.8053838037905607 -0.3647351975783318 -0.18519902210297096 -0.012675266113407267 0.22758029368324675 0.062281285161238945 -1.4134723079316698 -1.403018680213155 -1.3036556738585103 -0.7743631668120016 -0.11188326064259249 0.9125732560768929 0.27257796243450305
16 14 0.869209588373084 0.8708722270930401 0.531235318054998 0.2929897968011756 0.03222590362897731 -0.3519395188178639 -0.10107612782914294 -0.6894027664148666 -0.694963679590375 -0.28131565400648967 -0.13722091265722233 -0.00644733977560728 0.17057261619523978 0.04553832278145184 -1.1041039139617441 -1.0846637235562004 -1.4580345569907867 -0.9322399799596716 -0.16327330511961047 1.0770139934987604 0.3358218931632724
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1 k r_0 r_1 r_2 r_3 r_4 r_5 r_6 s_0 s_1 s_2 s_3 s_4 s_5 s_6 grad_h_0 grad_h_1 grad_h_2 grad_h_3 grad_h_4 grad_h_5 grad_h_6 grad_L_0 grad_L_1 grad_L_2 grad_L_3 grad_L_4 grad_L_5 grad_L_6
2 0 0.07344685103845601 0.07384272682630431 0.0362791730755812 0.018836883241377663 0.0015093605579911851 -0.023006640226420183 -0.006377321990667928 0.08805708346976929 0.08853067762029265 0.04352566654166252 0.022603068884266542 0.0018130511473856343 -0.02760532281999922 -0.007652734528234166 -0.2922046486262654 -0.2937590158797666 -0.14492986932162633 -0.07532371285777759 -0.0060738117878889825 0.0919736518715807 0.025508250751324756 -1.4689370207691201 -1.4768545365260863 -0.7255834615116239 -0.3767376648275532 -0.0301872111598237 0.46013280452840366 0.12754643981335856
3 1 0.15710108033473683 0.15794687056558235 0.07762855629016058 0.04030979868143088 0.0032317591480075375 -0.04923169690541944 -0.013647419792490387 0.18774683330654204 0.18874753656214982 0.09306275341377224 0.048360087399189934 0.0038959244011348313 -0.059052113865004655 -0.016376396614355193 -0.6129150594361042 -0.6160133199313491 -0.30868394247223313 -0.16100577435518115 -0.013283305062545873 0.19640833919170433 0.054579536437296086 -1.3808799372993508 -1.3883238589057938 -0.6820577949699613 -0.35413459594328667 -0.028374160012438067 0.43252748170840444 0.11989370528512439
4 2 0.25180634267967095 0.2531528865603466 0.12468878881866483 0.0647789662706081 0.005210488739069275 -0.0791061483981746 -0.02193489877430536 0.29897859318098574 0.3005360650043911 0.14924733479403393 0.07768632498018842 0.006326307764172373 -0.09481983341589277 -0.026319789001326463 -0.9434450100262953 -0.94766356888089 -0.49117091950738223 -0.25814717419160643 -0.02231638050206197 0.3142737003543633 0.08769780454042204 -1.2811901874625782 -1.2881069999639365 -0.6325207080978517 -0.32837757742836327 -0.02629128675868887 0.401080690663399 0.11117004319900337
5 3 0.3574765145603925 0.3593519885804759 0.17806414112991342 0.09263889197255666 0.007519352933954939 -0.11308548197151831 -0.03138112154192807 0.41984789037104614 0.4219336231690922 0.21257273107990832 0.11102503041987913 0.009237073721370202 -0.13538836094858386 -0.03765134537035457 -1.2474275162130732 -1.2516326917723266 -0.6901717989998979 -0.36772276894644934 -0.03435441574830522 0.44605757954131103 0.1254044765685299 -1.1699584275881345 -1.1763184715216952 -0.5763361267175899 -0.2990513398473648 -0.023860903395651327 0.3653129711125109 0.1012266508120321
6 4 0.47230234689094985 0.4746796688369419 0.2382232676014941 0.12431066214026283 0.010284580593292876 -0.15162558312757485 -0.04214610009250477 0.5457221103914068 0.548205268264522 0.2832246290727741 0.14883061760370828 0.012849191603145932 -0.18119311089850776 -0.05056138265434684 -1.468395270009139 -1.4705119885516025 -0.9000272294256007 -0.49039910926890906 -0.051292220197061124 0.591350555418658 0.16830565123684146 -1.049089130398074 -1.0549209133569941 -0.5130107304317155 -0.2657126344076741 -0.0209501374384535 0.3247444435798198 0.08989509444300399
7 5 0.5918828559102925 0.5946377316776001 0.3053425706947166 0.16022596996490052 0.01371609258097982 -0.19514009558000256 -0.054410635512297426 0.6688566188623306 0.6714707327355256 0.3608482639332921 0.19153864272458226 0.017511945046416434 -0.2325525108451569 -0.06526515465211961 -1.5394752590407623 -1.5366600211585102 -1.1101138647715099 -0.6262534551936346 -0.07591704930873225 0.7482483053030868 0.2170903827964437 -0.9232149103777133 -0.9286492682615644 -0.44235883243884977 -0.22790704722384494 -0.01733801955667777 0.2789396936298959 0.07698505715901172
8 6 0.70886063895767 0.7117399229250536 0.3790850238122087 0.2007985938297308 0.018145708352086797 -0.24393152552931924 -0.06837921891018156 0.7795342543542535 0.7818908569357114 0.4442678075051342 0.2395167521703309 0.023739871384216422 -0.2895601883331639 -0.08200811703190672 -1.4134723079316698 -1.403018680213155 -1.3036556738585103 -0.7743631668120016 -0.11188326064259249 0.9125732560768929 0.27257796243450305 -0.8000804019067895 -0.8053838037905607 -0.3647351975783318 -0.18519902210297096 -0.012675266113407267 0.22758029368324675 0.062281285161238945
9 7 0.8140043926749968 0.8166390409152301 0.4583335902054587 0.246377797803192 0.024062238372996786 -0.29808881914292584 -0.08428503317097931 0.869209588373084 0.8708722270930401 0.531235318054998 0.2929897968011756 0.03222590362897731 -0.3519395188178639 -0.10107612782914294 -1.1041039139617441 -1.0846637235562004 -1.4580345569907867 -0.9322399799596716 -0.16327330511961047 1.0770139934987604 0.3358218931632724 -0.6894027664148666 -0.694963679590375 -0.28131565400648967 -0.13722091265722233 -0.00644733977560728 0.17057261619523978 0.04553832278145184
10 8 0.8991959599928858 0.9011713425646924 0.5409527252278293 0.2971771902024945 0.03212396900551963 -0.35734918310339087 -0.10239964342835371 0.9341566163925177 0.9347103944024466 0.6183662223309738 0.3519327985091351 0.043807479731387634 -0.4188723289042525 -0.1228143434793911 -0.6992131279926374 -0.6707810367550829 -1.5482699420628891 -1.0951121661328123 -0.23367021451736014 1.2304629160172336 0.40829400102074787 -0.5997274323960361 -0.6059823094330462 -0.19434814345662588 -0.08374786802637763 0.0020386924691536065 0.10819328571053977 0.026470311984215622
11 9 0.9608956366113478 0.9618176015086286 0.6237270842900063 0.35317304182505604 0.04312646630280944 -0.42093535268546006 -0.12305094829608948 0.9766204902126228 0.9756291333869995 0.7014651778476151 0.41593035446664933 0.05937663637410937 -0.48883960639644686 -0.147657915431495 -0.31449707202550026 -0.2762306375674181 -1.554761871152175 -1.255146252831866 -0.32500340142599865 1.3580850742197355 0.4921393427081104 -0.5347804043766025 -0.5421441421236397 -0.10721723918065007 -0.024804866318418106 0.013620268571563933 0.04126047562415114 0.004732096333967456
12 10 1.0012363167404477 1.0006904035439539 0.7026710920308156 0.41397071998469454 0.05791716511339509 -0.4874042663030447 -0.14665234165058819 1.002517539618528 0.9993521151942278 0.7763485825476616 0.48401547148394697 0.07974851392695963 -0.5595472165058619 -0.1761737345440162 -0.025624457561606657 0.026765766994520778 -1.4735498103369213 -1.400895029985049 -0.4366269762712907 1.4428590040563443 0.5904278578685602 -0.4923165305564974 -0.5012254031390868 -0.02411828366400881 0.03919268963909611 0.02918942521428567 -0.028706801868043197 -0.02011147561813645
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@@ -0,0 +1,8 @@
n,k,fps,spf
96,48,23963.664002681122,4.1729845648316434e-05
204,102,11466.593636251799,8.720985775919413e-05
204,102,1262.3084456970446,0.0007921994053108008
408,204,291.5566845813344,0.0034298647669010448
31,11,48018.582682609645,2.0825271054119614e-05
31,26,72986.7772585266,1.3701111866576847e-05
504,252,252.54094111529753,0.0039597539930899765
1 n k fps spf
2 96 48 23963.664002681122 4.1729845648316434e-05
3 204 102 11466.593636251799 8.720985775919413e-05
4 204 102 1262.3084456970446 0.0007921994053108008
5 408 204 291.5566845813344 0.0034298647669010448
6 31 11 48018.582682609645 2.0825271054119614e-05
7 31 26 72986.7772585266 1.3701111866576847e-05
8 504 252 252.54094111529753 0.0039597539930899765

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@@ -0,0 +1,5 @@
%\appendix
%
%\section{Proximal Decoding}%
%\label{app:Proximal Decoding}

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\section{Decoding Algorithms}%
\label{sec:Decoding Algorithms}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\subsection{Proximal Decoding}%
\label{sub:Alg Proximal Decoding}
\begin{frame}[t]
\frametitle{Proximal Decoding: General Idea \cite{proximal_paper}}
\vspace*{-0.3cm}
\begin{itemize}
\item MAP rule:
\begin{align*}
\hat{\boldsymbol{x}}
&= \argmax_{x\in\mathbb{R}^n}
f_{\boldsymbol{Y}}\left( \boldsymbol{y} | \boldsymbol{x} \right)
f_{\boldsymbol{X}}\left( \boldsymbol{x} \right)\\
&= \argmax_{x\in\mathbb{R}^n}
e^{-L\left( \boldsymbol{y} | \boldsymbol{x}\right)}
f_{\boldsymbol{X}}\left( \boldsymbol{x} \right),
\hspace{5mm} L\left( \boldsymbol{y} | \boldsymbol{x} \right)
= - \ln\left( f_{\boldsymbol{Y}}
\left( \boldsymbol{y} | \boldsymbol{x} \right) \right)
\end{align*}
\item Approximation of prior PDF:
\begin{align*}
f_{\boldsymbol{X}}\left( \boldsymbol{x} \right)
= \frac{1}{\left| \mathcal{C}\left( \boldsymbol{H} \right) \right| }
\sum_{\boldsymbol{c} \in \mathcal{C}\left( \boldsymbol{H} \right) }
\delta\left( \boldsymbol{x} - \left( -1 \right)^{\boldsymbol{c}} \right)
\approx \frac{1}{Z} e^{-\gamma h\left( \boldsymbol{x} \right) }
\end{align*}
\item Code constraint polynomial:
\begin{minipage}[c]{0.56\textwidth}
\raggedright
\begin{align*}
h\left( \boldsymbol{x} \right) =
\underbrace{\sum_{j=1}^{n} \left( x_j^2 - 1 \right)^2}_{\text{Bipolar
constraint}}
+ \underbrace{\sum_{i=1}^{m} \left[ \left(
\prod_{j\in\mathcal{A}\left( i \right)} x_j\right) -1 \right]^2}
_{\text{Parity constraint}},
\end{align*}
\end{minipage}%
\begin{minipage}[c]{0.4\textwidth}
\raggedleft
\begin{flalign*}
\mathcal{I} &\equiv \left[1\text{ : }n\right],\hspace{2mm} \mathcal{J} \equiv \left[1\text{ : }m\right] \\
\mathcal{A}\left( i \right) &\equiv \left\{j | j\in \mathcal{J},
\boldsymbol{H}_{j,i} = 1
\right\}, i \in \mathcal{I}\\
\end{flalign*}
\end{minipage}
\hfill
\end{itemize}
\end{frame}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\begin{frame}[t]
\frametitle{Proximal Decoding: General Idea}
\begin{itemize}
\item Objective function:
\begin{align*}
f\left( \boldsymbol{x} \right)
= L\left( \boldsymbol{y} | \boldsymbol{x} \right)
+ \gamma h\left( \boldsymbol{x} \right)
\end{align*}
\note{Notational difference between $f$ and $f_X$ or $f_Y$}
\item Proximal operator \cite{proximal_algorithms}:
\begin{align*}
\text{prox}_{\gamma h} \left( \boldsymbol{x} \right) &\equiv
\argmin_{\boldsymbol{t}\in\mathbb{R}^n} \left(
\gamma h\left( \boldsymbol{t} \right) + \frac{1}{2} \lVert \boldsymbol{t}
- \boldsymbol{x} \rVert^2 \right)\\
&\approx \boldsymbol{x} - \gamma \nabla h\left( \boldsymbol{x} \right),
\hspace{5mm} \gamma \text{ small}
\end{align*}
\item Iterative decoding process:
\begin{align*}
\boldsymbol{r} &\leftarrow \boldsymbol{s}
- \omega \nabla L\left( \boldsymbol{y} | \boldsymbol{s}
\right), \hspace{5mm} \omega > 0
\hspace{10mm} \text{``Gradient descent step''}\\
\boldsymbol{s} &\leftarrow \boldsymbol{r}
- \gamma \nabla h\left( \boldsymbol{r}
\right), \hspace{9mm} \gamma > 0
\hspace{10mm} \text{``Code proximal step''}
\end{align*}
\end{itemize}
\end{frame}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\begin{frame}[t, fragile]
\frametitle{Proximal Decoding: Algorithm}
\begin{itemize}
\item Iterative decoding algorithm \cite{proximal_paper}:
\end{itemize}
\vspace{2mm}
\begin{algorithm}[caption={}, label={}]
$\boldsymbol{s} \leftarrow \boldsymbol{0}$
for $K$ iterations do
$\boldsymbol{r} \leftarrow \boldsymbol{s} - \omega \nabla L \left( \boldsymbol{y} \mid \boldsymbol{s} \right) $
$\boldsymbol{s} \leftarrow \boldsymbol{r} - \gamma \nabla h\left( \boldsymbol{r} \right) $
$\boldsymbol{\hat{x}} \leftarrow \text{sign}\left( \boldsymbol{s} \right) $
if $\boldsymbol{H}\boldsymbol{\hat{c}} = \boldsymbol{0}$ do
return $\boldsymbol{\hat{c}}$
end if
end for
return $\boldsymbol{\hat{c}}$
\end{algorithm}
\end{frame}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\subsection{LP Decoding}%
\label{sub:LP Decoding}
\begin{frame}[t]
\frametitle{LP Decoding \cite{feldman_paper}}
\begin{minipage}[c]{0.6\linewidth}
\begin{itemize}
\item Codeword polytope:
\begin{align*}
\text{poly}\left( \mathcal{C} \right) =
\left\{
\sum_{\boldsymbol{c}\in\mathcal{C}}\lambda_{\boldsymbol{c}}
\boldsymbol{c} : \lambda_{\boldsymbol{c}} \ge 0,
\sum_{\boldsymbol{c}\in\mathcal{C}}\lambda_{\boldsymbol{c}} = 1
\right\},
\hspace{5mm} \lambda_{\boldsymbol{c}} \in \mathbb{R}_{\ge 0}
\end{align*}
\item Cost function:
\begin{align*}
\sum_{i=1}^{n} \gamma_i c_i,
\hspace{5mm}\gamma_i = \ln\left(
\frac{P\left( Y=y_i | C=0 \right) }{P\left( Y=y_i | C=1 \right) } \right)
\end{align*}
\item LP formulation of ML decoding:
\begin{align*}
&\text{minimize } \sum_{i=1}^{n} \gamma_i f_i \\
&\text{subject to } \boldsymbol{f}\in\text{poly}\left( \mathcal{C} \right)
\end{align*}
\end{itemize}
\end{minipage}%
\hfill%
\begin{minipage}[c]{0.4\linewidth}
\begin{figure}[H]
\centering
\tikzstyle{codeword} = [color=KITblue, fill=KITblue,
draw, circle, inner sep=0pt, minimum size=4pt]
\tdplotsetmaincoords{60}{245}
\begin{tikzpicture}[scale=1, transform shape, tdplot_main_coords]
% Cube
\draw[dashed] (0, 0, 0) -- (2, 0, 0);
\draw[dashed] (2, 0, 0) -- (2, 0, 2);
\draw[] (2, 0, 2) -- (0, 0, 2);
\draw[] (0, 0, 2) -- (0, 0, 0);
\draw[] (0, 2, 0) -- (2, 2, 0);
\draw[] (2, 2, 0) -- (2, 2, 2);
\draw[] (2, 2, 2) -- (0, 2, 2);
\draw[] (0, 2, 2) -- (0, 2, 0);
\draw[] (0, 0, 0) -- (0, 2, 0);
\draw[dashed] (2, 0, 0) -- (2, 2, 0);
\draw[] (2, 0, 2) -- (2, 2, 2);
\draw[] (0, 0, 2) -- (0, 2, 2);
% Codeword Polytope
\draw[line width=1pt, color=KITblue] (0, 0, 0) -- (2, 0, 2);
\draw[line width=1pt, color=KITblue] (0, 0, 0) -- (2, 2, 0);
\draw[line width=1pt, color=KITblue] (0, 0, 0) -- (0, 2, 2);
\draw[line width=1pt, color=KITblue] (2, 0, 2) -- (2, 2, 0);
\draw[line width=1pt, color=KITblue] (2, 0, 2) -- (0, 2, 2);
\draw[line width=1pt, color=KITblue] (0, 2, 2) -- (2, 2, 0);
% Polytope Annotations
\node[codeword] (c000) at (0, 0, 0) {};% {$\left( 0, 0, 0 \right) $};
\node[codeword] (c101) at (2, 0, 2) {};% {$\left( 1, 0, 1 \right) $};
\node[codeword] (c110) at (2, 2, 0) {};% {$\left( 1, 1, 0 \right) $};
\node[codeword] (c011) at (0, 2, 2) {};% {$\left( 0, 1, 1 \right) $};
\node[color=KITblue, right=0cm of c000] {$\left( 0, 0, 0 \right) $};
\node[color=KITblue, above=0cm of c101] {$\left( 1, 0, 1 \right) $};
\node[color=KITblue, left=0cm of c110] {$\left( 1, 1, 0 \right) $};
\node[color=KITblue, left=0cm of c011] {$\left( 0, 1, 1 \right) $};
% f
\node[color=KITgreen, fill=KITgreen,
draw, circle, inner sep=0pt, minimum size=4pt] (f) at (0.7, 0.7, 1) {};
\node[color=KITgreen, right=0cm of f] {$\boldsymbol{f}$};
\end{tikzpicture}
\caption{$\text{poly}\left( \mathcal{C} \right)$ for $n=3$}
\end{figure}
\end{minipage}
\end{frame}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%\begin{frame}[t]
% \frametitle{LP Relaxation}
%
% \begin{minipage}[c]{0.6\linewidth}
% \begin{itemize}
% \item Set of all variable nodes incident to a check node:
% \begin{align*}
% N\left( j \right) \equiv \left\{
% i | i\in \mathcal{I},
% \boldsymbol{H}_{j,i} = 1
% \right\},
% j \in \mathcal{J}
% \end{align*}
% \begin{align*}
% S \subseteq N\left( j \right), \left| S \right| \text{odd}
% \end{align*}
% \item Relaxed polytope representation:
% \begin{align*}
% \sum_{i\in \left( N\left( j \right) \setminus S\right) } f_i
% + \sum_{i\in S} \left( 1 - f_i \right) \ge 1
% \end{align*}
% ``$\boldsymbol{f}$ is separated by at least one bitflip
% from all illegal configurations''
% \end{itemize}
% \end{minipage}%
% \hfill%
% \begin{minipage}[c]{0.4\linewidth}
% \begin{figure}[H]
% \centering
%
% \tikzstyle{codeword} = [color=KITblue, fill=KITblue,
% draw, circle, inner sep=0pt, minimum size=4pt]
%
% \tdplotsetmaincoords{60}{245}
% \begin{tikzpicture}[scale=1, transform shape, tdplot_main_coords]
% % Cube
%
% \draw[dashed] (0, 0, 0) -- (2, 0, 0);
% \draw[dashed] (2, 0, 0) -- (2, 0, 2);
% \draw[] (2, 0, 2) -- (0, 0, 2);
% \draw[] (0, 0, 2) -- (0, 0, 0);
%
% \draw[] (0, 2, 0) -- (2, 2, 0);
% \draw[] (2, 2, 0) -- (2, 2, 2);
% \draw[] (2, 2, 2) -- (0, 2, 2);
% \draw[] (0, 2, 2) -- (0, 2, 0);
%
% \draw[] (0, 0, 0) -- (0, 2, 0);
% \draw[dashed] (2, 0, 0) -- (2, 2, 0);
% \draw[] (2, 0, 2) -- (2, 2, 2);
% \draw[] (0, 0, 2) -- (0, 2, 2);
%
% % Codeword Polytope
%
% \draw[line width=1pt, color=KITblue] (0, 0, 0) -- (2, 0, 2);
% \draw[line width=1pt, color=KITblue] (0, 0, 0) -- (2, 2, 0);
% \draw[line width=1pt, color=KITblue] (0, 0, 0) -- (0, 2, 2);
%
% \draw[line width=1pt, color=KITblue] (2, 0, 2) -- (2, 2, 0);
% \draw[line width=1pt, color=KITblue] (2, 0, 2) -- (0, 2, 2);
%
% \draw[line width=1pt, color=KITblue] (0, 2, 2) -- (2, 2, 0);
%
% % Polytope Annotations
%
% \node[codeword, color=KITred] (c111) at (2, 2, 2) {};% {$\left( 0, 0, 0 \right) $};
% \node[codeword, color=KITred] (c001) at (0, 0, 2) {};% {$\left( 1, 0, 1 \right) $};
% \node[codeword, color=KITred] (c100) at (2, 0, 0) {};% {$\left( 1, 1, 0 \right) $};
% \node[codeword, color=KITred] (c010) at (0, 2, 0) {};% {$\left( 0, 1, 1 \right) $};
%
% \node[color=KITred, left=0cm of c111] {$\left( 1, 1, 1 \right) $};
% \node[color=KITred, right=0cm of c001] {$\left( 0, 0, 1 \right) $};
% \node[color=KITred, right=0.35cm of c100] {$\left( 1, 0, 0 \right) $};
% \node[color=KITred, below=0cm of c010] {$\left( 0, 1, 0 \right) $};
% \end{tikzpicture}
% \caption{Relaxed polytope for $n=3$}
% \end{figure}
% \end{minipage}
% \todo{How is this a relaxation and not just an alternative formulation?
% We have just switched out valid codewords for invalid ones}
% \todo{Is LP Relaxation relevant as theoretical background?}
%\end{frame}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%\subsection{ADMM}%
%\label{sub:Alg ADMM}
%
%\begin{frame}[t]
% \frametitle{ADMM Decoding: General Idea}
%
% \todo{TODO}
%\end{frame}
%
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%\begin{frame}[t]
% \frametitle{ADMM Decoding: Algorithm}
%
% \todo{TODO}
%\end{frame}

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\section{Forthcoming Analysis}%
\label{sec:Forthcoming Examinations}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\subsection{LP Decoding}%
\label{sub:Forth Exam LP Decoding}
\begin{frame}[t]
\frametitle{Forthcoming Analysis}
\begin{itemize}
\item Test ADMM (Alternating Direction Method of Multipliers)
as an optimization method for LP Decoding
\begin{itemize}
\item In LP decoding, the ML decoding problem is reduced to a linear program,
which can be solved in polynomial time \cite{lautern}
\item ADMM is intended to blend the decomposability
of dual ascent with the superior convergence properties of the method
of multipliers \cite{distr_opt_book}
\item ADMM has been proposed for efficient LP Decoding
\cite{efficient_lp_dec_admm}
\end{itemize}
\item Compare ADMM implementation with Proximal Decoding implementation with respect to
\begin{itemize}
\item decoding performance (BER, FER)
\item computational performance (time complexity, actual seconds per frame)
\end{itemize}
\end{itemize}
\end{frame}

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\begin{frame}[t]
\frametitle{Questions}
\begin{minipage}[c]{0.65\textwidth}
\centering
\LARGE Thank you for your attention!\\ Any questions?
\end{minipage}%
\begin{minipage}[c]{0.35\textwidth}
\centering
\begin{figure}[H]
\centering
\begin{tikzpicture}[every node/.style={scale=14}]
\node at (0, 0) {\textcolor{KITblue}{?}};
\end{tikzpicture}
\end{figure}
\end{minipage}
\end{frame}

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\section{Theoretical Background}%
\label{sec:Theoretical Background}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\subsection{Motivation}%
\label{sub:Motivation}
\begin{frame}[t]
\frametitle{Motivation}
\begin{itemize}
\item The general [ML] decoding problem for linear codes and the general problem
of finding the weights of a linear code are both NP-complete. \cite{ml_np_hard_proof}
\item The iterative messagepassing algorithms preferred in practice do not guarantee
optimality and may fail to decode correctly when the graph contains cycles.
\cite{ldpc_conv}
\item The standard message-passing algorithms used for decoding [LDPC and turbo codes]
are often difficult to analyze. \cite{feldman_thesis}
\end{itemize}
\end{frame}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\begin{frame}[t]
\frametitle{Previous Work}
\begin{figure}[h]
\centering
\begin{subfigure}{0.33\textwidth}
\centering
\fbox{\includegraphics[page=1,width=.6\textwidth]{res/Bachelor_Thesis_Yanxia_Lu}}
\end{subfigure}%
\begin{subfigure}{0.33\textwidth}
\centering
\fbox{\includegraphics[page=25,width=.6\textwidth]{res/Bachelor_Thesis_Yanxia_Lu}}
\end{subfigure}%
\begin{subfigure}{0.33\textwidth}
\centering
\fbox{\includegraphics[page=60,width=.6\textwidth]{res/Bachelor_Thesis_Yanxia_Lu}}
\end{subfigure}%
\caption{Bachelor's Thesis by Yanxia Lu \cite{yanxia_lu_thesis}}
\end{figure}
\begin{itemize}
\item Analysis of ``Proximal Decoding''
\item Analysis of ``Interior Point Decoding''
\end{itemize}
\end{frame}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\subsection{Presumptions}%
\label{sub:Presumptions}
\begin{frame}[t]
\frametitle{Presumptions: Channel \& Modulation}
\tikzstyle{mapper} = [rectangle, minimum width=1.5cm, minimum height=0.7cm,
rounded corners=0.1cm, text centered, draw=black, fill=KITgreen!80]
\begin{figure}[htpb]
\centering
\begin{tikzpicture}[scale=1, transform shape]
\node (in) {$\boldsymbol{c}$};
\node[mapper, right=0.5cm of in] (bpskmap) {Mapper};
\node[right=1.5cm of bpskmap,
draw, circle, inner sep=0pt, minimum size=0.5cm] (add) {$+$};
\node[below=0.5cm of add] (noise) {$\boldsymbol{z}$};
\node[mapper, right=1.5cm of add] (decoder) {Decoder};
\node[mapper, right=1.5cm of decoder] (demapper) {Demapper};
\node[right=0.5cm of demapper] (out) {$\boldsymbol{\hat{c}}$};
\node at ($(bpskmap.east)!0.5!(add.west) + (0,0.3cm)$) {$\boldsymbol{x}$};
\node at ($(add.east)!0.5!(decoder.west) + (0,0.3cm)$) {$\boldsymbol{y}$};
\node at ($(decoder.east)!0.5!(demapper.west) + (0,0.3cm)$) {$\boldsymbol{\hat{x}}$};
\draw[->] (in) -- (bpskmap);
\draw[->] (bpskmap) -- (add);
\draw[->] (add) -- (decoder);
\draw[->] (noise) -- (add);
\draw[->] (decoder) -- (demapper);
\draw[->] (demapper) -- (out);
\end{tikzpicture}
\end{figure}
\begin{itemize}
\item All simulations are performed with BPSK:
\begin{align*}
\boldsymbol{x} = \left( -1 \right)^{\boldsymbol{c}},
\hspace{5mm} \boldsymbol{c} \in \mathbb{F}_2^n,
\hspace{2mm} \boldsymbol{x} \in \mathbb{R}^n
\end{align*}
\item The channel model is AWGN:
\begin{align*}
\boldsymbol{y} = \boldsymbol{x} + \boldsymbol{z},
\hspace{5mm}\boldsymbol{z}\sim \mathcal{N}
\left(0,\frac{1}{2}\left(\frac{k}{n}\frac{E_b}{N_0}\right)^{-1}\right),
\hspace{2mm} \boldsymbol{y}, \boldsymbol{z} \in \mathbb{R}^n
\end{align*}
\item All-zeros assumption:
\begin{align*}
\boldsymbol{c} = \boldsymbol{0}
\end{align*}
\end{itemize}
\end{frame}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\subsection{Optimization as a Decoding Method}%
\label{sub:Optimization as a Decoding Method}
\begin{frame}[t]
\frametitle{Optimization as a Decoding Method}
\begin{minipage}[c]{0.6\linewidth}
\begin{itemize}
\item Reformulate decoding problem as optimization problem
\begin{itemize}
\item Establish objective function
\item Establish constraints
\end{itemize}
\item Use optimization method to solve the new problem
\end{itemize}
\end{minipage}%
\hfill%
\begin{minipage}[c]{0.4\linewidth}
\begin{figure}[H]
\centering
\tikzstyle{codeword} = [color=KITblue, fill=KITblue,
draw, circle, inner sep=0pt, minimum size=4pt]
\tdplotsetmaincoords{60}{245}
\begin{tikzpicture}[scale=1, transform shape, tdplot_main_coords]
% Cube
\draw[dashed] (0, 0, 0) -- (2, 0, 0);
\draw[dashed] (2, 0, 0) -- (2, 0, 2);
\draw[] (2, 0, 2) -- (0, 0, 2);
\draw[] (0, 0, 2) -- (0, 0, 0);
\draw[] (0, 2, 0) -- (2, 2, 0);
\draw[] (2, 2, 0) -- (2, 2, 2);
\draw[] (2, 2, 2) -- (0, 2, 2);
\draw[] (0, 2, 2) -- (0, 2, 0);
\draw[] (0, 0, 0) -- (0, 2, 0);
\draw[dashed] (2, 0, 0) -- (2, 2, 0);
\draw[] (2, 0, 2) -- (2, 2, 2);
\draw[] (0, 0, 2) -- (0, 2, 2);
% Codeword Polytope
% \draw[line width=1pt, color=KITblue] (0, 0, 0) -- (2, 0, 2);
% \draw[line width=1pt, color=KITblue] (0, 0, 0) -- (2, 2, 0);
% \draw[line width=1pt, color=KITblue] (0, 0, 0) -- (0, 2, 2);
% \draw[line width=1pt, color=KITblue] (2, 0, 2) -- (2, 2, 0);
% \draw[line width=1pt, color=KITblue] (2, 0, 2) -- (0, 2, 2);
% \draw[line width=1pt, color=KITblue] (0, 2, 2) -- (2, 2, 0);
% Polytope Annotations
\node[codeword] (c000) at (0, 0, 0) {};% {$\left( 0, 0, 0 \right) $};
\node[codeword] (c101) at (2, 0, 2) {};% {$\left( 1, 0, 1 \right) $};
\node[codeword] (c110) at (2, 2, 0) {};% {$\left( 1, 1, 0 \right) $};
\node[codeword] (c011) at (0, 2, 2) {};% {$\left( 0, 1, 1 \right) $};
\node[color=KITblue, right=0cm of c000] {$\left( 0, 0, 0 \right) $};
\node[color=KITblue, above=0cm of c101] {$\left( 1, 0, 1 \right) $};
\node[color=KITblue, left=0cm of c110] {$\left( 1, 1, 0 \right) $};
\node[color=KITblue, left=0cm of c011] {$\left( 0, 1, 1 \right) $};
% f
\node[color=KITgreen, fill=KITgreen,
draw, circle, inner sep=0pt, minimum size=4pt] (f) at (0.7, 0.7, 1) {};
\node[color=KITgreen, right=0cm of f] {$\boldsymbol{f}$};
\end{tikzpicture}
\caption{Hypercube ($n=3$) with valid codewords}
\end{figure}
\end{minipage}
\end{frame}