\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} \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 } } } \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=\tiny\normalfont, columns=fullflexible, keywordstyle=\color{black}\bfseries, keywords={a, for, end, do, 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) } } {} \pgfplotsset{ /pgfplots/colormap/mako/.style={ colormap={mako}{ rgb=(0.18195582, 0.11955283, 0.23136943) rgb=(0.25307401, 0.23772973, 0.48316271) rgb=(0.21607792, 0.39736958, 0.61948028) rgb=(0.20344718, 0.56074869, 0.65649508) rgb=(0.25187832, 0.71827158, 0.67872193) rgb=(0.54578602, 0.8544913, 0.69848331) } }, /pgfplots/colormap/rocket/.style={ colormap={rocket}{ rgb=(0.20973515, 0.09747934, 0.24238489) rgb=(0.43860848, 0.12177004, 0.34119475) rgb=(0.67824099, 0.09192342, 0.3504148) rgb=(0.8833417, 0.19830556, 0.26014181) rgb=(0.95381595, 0.46373781, 0.31769923) rgb=(0.96516917, 0.70776351, 0.5606593) } }, /pgfplots/colormap/cividis/.style={ colormap={cividis}{ rgb=(0.130669, 0.231458, 0.43284) rgb=(0.298421, 0.332247, 0.423973) rgb=(0.42512, 0.431334, 0.447692) rgb=(0.555393, 0.537807, 0.471147) rgb=(0.695985, 0.648334, 0.440072) rgb=(0.849223, 0.771947, 0.359729) } }, colormap/cividis, colormap/mako, colormap/rocket, } \title{BA Besprechung} \author{Andreas Tsouchlos} \begin{document} \frame{\titlepage} % ================================ % BER % ================================ \begin{frame}[t] \frametitle{Proximal Decoder} \framesubtitle{BER ($\omega = 0.05, K=200, \eta = 1.5$)} \begin{figure}[H] \centering \begin{subfigure}{0.5\textwidth} \centering \begin{tikzpicture}[scale=0.52] \begin{semilogyaxis}[xlabel={SNR},ylabel={BER}, grid=both, grid style={line width=.1pt}, legend style={at={(0.05,0.05)},anchor=south west}] \foreach \gamma in {0.01, 0.05, 0.15}{ \addplot table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{\gamma}] {res/BER_FER_DFR_20433486alist.csv}; \legend{\gamma} } \legend{$\gamma=0.01$, $\gamma=0.05$, $\gamma=0.15$} \end{semilogyaxis} \end{tikzpicture} \caption{BER of 204.33.486} \end{subfigure}% \begin{subfigure}{0.5\textwidth} \centering \includegraphics[scale=0.215]{res/paper_results} \caption{Results from ``Prox. Dec. for LDPC Codes''} \end{subfigure} \end{figure} \end{frame} % ================================ % Average Error value % ================================ \begin{frame}[t] \frametitle{Proximal Decoder} \framesubtitle{Average Error Value ($\omega = 0.05, \gamma = 0.05, \eta=1.5$)} \begin{figure}[H] \centering \begin{subfigure}{0.5\textwidth} \centering \begin{tikzpicture}[scale=0.4] \begin{axis}[grid=both, grid style={line width=.1pt}, xlabel={k}, ylabel={Average $ \left| \boldsymbol{x} - \boldsymbol{\hat{x}} \right| $}, xtick={0, 25, ..., 100}] \addplot table [x=k, y=err, col sep=comma, mark=none] {res/avg_err_val_8_dB_20433486alist.csv}; \end{axis} \end{tikzpicture} \includegraphics[scale=0.2]{res/paper_avg_error_8dB} \caption{$\text{SNR} = 8dB$} \end{subfigure}% \begin{subfigure}{0.5\textwidth} \centering \begin{tikzpicture}[scale=0.4] \begin{axis}[grid=both, grid style={line width=.1pt}, xlabel={k}, ylabel={Average $ \left| \boldsymbol{x} - \boldsymbol{\hat{x}} \right| $}, xtick={0, 25, ..., 100}] \addplot table [x=k, y=err, col sep=comma, mark=none] {res/avg_err_val_10_dB_20433486alist.csv}; \end{axis} \end{tikzpicture} \includegraphics[scale=0.2]{res/paper_avg_error_10dB} \caption{$\text{SNR} = 10dB$} \end{subfigure} \end{figure} \end{frame} % ================================ % 3d Average error % ================================ \begin{frame}[t, fragile] \frametitle{Proximal Decoder} \framesubtitle{Average Error Value ($\text{SNR}=8dB, \gamma = 0.05, \eta = 1.5$)} \begin{figure}[H] \centering \begin{subfigure}[c]{0.5\textwidth} \centering \begin{subfigure}{0.5\textwidth} \centering \begin{tikzpicture}[scale=0.4] \begin{axis}[grid=both, grid style={line width=.1pt}, xlabel={k}, ylabel={Average $ \left| \boldsymbol{x} - \boldsymbol{\hat{x}} \right| $}, xtick={0, 25, ..., 100}] \addplot table [x=k, y=err, col sep=comma, mark=none] {res/avg_err_val_8_dB_20433486alist.csv}; \end{axis} \end{tikzpicture} \end{subfigure} \vspace{5mm} \begin{subfigure}{0.5\textwidth} \centering \begin{tikzpicture}[scale=0.52] \begin{semilogyaxis}[view={35}{60}, xlabel={$\textcolor{orange}{k}$}, ylabel={$\textcolor{red}{\omega}$}, zlabel={Average $\left| \boldsymbol{x} - \boldsymbol{\hat{x}} \right| $}, point meta min = -0.5, point meta max = 5] \addplot3[surf, mesh/rows=50, mesh/cols=40] table [col sep=comma] {res/2d_avg_err_8dB_20433486alist.csv}; \addplot3[mark=none, blue, line width=1] table [col sep=comma, discard if not={omega}{0.052233450742668434}] {res/2d_avg_err_8dB_20433486alist.csv}; \addlegendentry{\tiny $n=204, k=102, r=0.5$} \end{semilogyaxis} \end{tikzpicture} \end{subfigure} \end{subfigure}% \begin{subfigure}[c]{0.5\textwidth} \centering \begin{algorithm}[caption={}, label={}] $\boldsymbol{s}^{\left( 0 \right)} = \boldsymbol{0}$ for $\textcolor{orange}{k}=0$ to $K-1$ do $\boldsymbol{r}^{\left( k+1 \right)} = \boldsymbol{s}^{(k)} - \textcolor{red}{\omega} \nabla L \left( \boldsymbol{s}^{(k)}; \boldsymbol{y} \right) $ Compute $\nabla h\left( \boldsymbol{r}^{\left( k+1 \right) } \right)$ $\boldsymbol{s}^{\left( k+1 \right)} = \boldsymbol{r}^{(k+1)} - \gamma \nabla h\left( \boldsymbol{r}^{\left( k+1 \right) } \right) $ $\boldsymbol{\hat{x}} = \text{sign}\left( \boldsymbol{s}^{\left( k+1 \right) } \right) $ If $\boldsymbol{\hat{x}}$ passes the parity check condition, break the loop. end for Output $\boldsymbol{\hat{x}}$ \end{algorithm} \end{subfigure} \end{figure} \end{frame} % ================================ % Average Gradient of H % ================================ \begin{frame}[t] \frametitle{Proximal Decoder} \framesubtitle{Average $\left| \nabla h \right|$ and $\left| \nabla L \right|$ ($\omega = 0.05, \gamma = 0.05, \eta = 1.5$)} \begin{figure}[H] \centering \begin{subfigure}{0.5\textwidth} \centering \begin{tikzpicture}[scale=0.52] \begin{axis}[grid=both, grid style={line width=.1pt}, xlabel={k}, xtick={0, 25, ..., 100}] \addplot table [x=k, y=grad_h, col sep=comma, mark=none] {res/avg_grad_8dB_20433486alist.csv}; \addlegendentry{$\left| \nabla h \right| $} \addplot table [x=k, y=grad_l, col sep=comma, mark=none] {res/avg_grad_8dB_20433486alist.csv}; \addlegendentry{$\left| \nabla L \right| $} \end{axis} \end{tikzpicture} \caption{$\text{SNR} = 8dB$} \end{subfigure}% \begin{subfigure}{0.5\textwidth} \centering \begin{tikzpicture}[scale=0.52] \begin{axis}[grid=both, grid style={line width=.1pt}, xlabel={k}, xtick={0, 25, ..., 100}] \addplot table [x=k, y=grad_h, col sep=comma, mark=none] {res/avg_grad_10dB_20433486alist.csv}; \addlegendentry{$\left| \nabla h \right| $} \addplot table [x=k, y=grad_l, col sep=comma, mark=none] {res/avg_grad_10dB_20433486alist.csv}; \addlegendentry{$\left| \nabla L \right| $} \end{axis} \end{tikzpicture} \caption{$\text{SNR} = 10dB$} \end{subfigure} \end{figure} \end{frame} % ================================ % BER vs FER vs Decoding Failure Rate % ================================ \begin{frame}[t] \frametitle{Proximal Decoder} \framesubtitle{BER vs FER vs Decoding Failure Rate ($\omega = 0.05, K=200, \eta = 1.5$)} \begin{figure}[H] \centering \begin{subfigure}{0.32\textwidth} \centering \begin{tikzpicture}[scale=0.52] \begin{semilogyaxis}[xlabel={SNR},ylabel={BER}, ymin=8e-5, ymax=2e0, grid=both, grid style={line width=.1pt}, legend style={at={(0.05,0.05)},anchor=south west}] \foreach \gamma in {0.01, 0.05, 0.15}{ \addplot table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{\gamma}] {res/BER_FER_DFR_20433486alist.csv}; } \legend{$\gamma=0.01$, $\gamma=0.05$, $\gamma=0.15$} \end{semilogyaxis} \end{tikzpicture} \caption{BER of 204.33.486} \end{subfigure}% \begin{subfigure}{0.32\textwidth} \centering \begin{tikzpicture}[scale=0.52] \begin{semilogyaxis}[xlabel={SNR},ylabel={FER}, ymin=8e-5, ymax=2e0, grid=both, grid style={line width=.1pt}, legend style={at={(0.05,0.05)},anchor=south west}] \foreach \gamma in {0.01, 0.05, 0.15}{ \addplot table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{\gamma}] {res/BER_FER_DFR_20433486alist.csv}; } \legend{$\gamma=0.01$, $\gamma=0.05$, $\gamma=0.15$} \end{semilogyaxis} \end{tikzpicture} \caption{FER of 204.33.486} \end{subfigure}% \begin{subfigure}{0.32\textwidth} \centering \begin{tikzpicture}[scale=0.52] \begin{semilogyaxis}[xlabel={SNR},ylabel={DFR}, ymin=8e-5, ymax=2e0, grid=both, grid style={line width=.1pt}, legend style={at={(0.05,0.05)},anchor=south west}] \foreach \gamma in {0.01, 0.05, 0.15}{ \addplot table [x=SNR, y=DFR, col sep=comma, discard if not={gamma}{\gamma}] {res/BER_FER_DFR_20433486alist.csv}; } \legend{$\gamma=0.01$, $\gamma=0.05$, $\gamma=0.15$} \end{semilogyaxis} \end{tikzpicture} \caption{DFR of 204.33.486} \end{subfigure} \end{figure} \end{frame} % ================================ % Average Error multiple SNRs % ================================ \begin{frame}[t] \frametitle{Proximal Decoder} \framesubtitle{Average Error Value ($\omega = 0.05, \gamma = 0.05, \eta = 1.5$)} \begin{figure}[H] \centering \begin{subfigure}{0.5\textwidth} \centering \begin{tikzpicture}[scale=0.52] \begin{axis}[grid=both, reverse legend, grid style={line width=.1pt}, xlabel={k}, ylabel={Average $ \left| \boldsymbol{x} - \boldsymbol{\hat{x}} \right| $}, xtick={0, 25, ..., 100}] \addplot table [x=k, y=err, col sep=comma, mark=none] {res/avg_err_val_8_dB_20433486alist.csv}; \addplot table [x=k, y=err, col sep=comma, mark=none] {res/avg_err_val_5dB_20433486alist.csv}; \addplot table [x=k, y=err, col sep=comma, mark=none] {res/avg_err_val_3dB_20433486alist.csv}; \addlegendentry{$\text{SNR=8dB}$} \addlegendentry{$\text{SNR=5dB}$} \addlegendentry{$\text{SNR=3dB}$} \end{axis} \end{tikzpicture} \end{subfigure}% \begin{subfigure}{0.5\textwidth} \centering \begin{tikzpicture}[scale=0.6] \begin{axis}[reverse legend, xlabel={$K$}, ylabel={$\omega$}, xtick={20, 60, 100, 140, 180}, ytick={1e-9, 1e-6, 1e-3, 1e-0}, zlabel={Average $\left| \boldsymbol{x} - \boldsymbol{\hat{x}} \right| $}, view={35}{60}, point meta min=-2, point meta max=8, ymode=log,] \addplot3[surf, mesh/rows=50, mesh/cols=40, colormap/mako] table [col sep=comma] {res/2d_avg_err_8dB_20433486alist.csv}; \addlegendentry{\tiny $\text{SNR} = 8dB$} \addplot3[surf, mesh/rows=50, mesh/cols=40, colormap/rocket] table [col sep=comma] {res/2d_avg_err_5dB_20433486alist.csv}; \addlegendentry{\tiny $\text{SNR} = 5dB$} \addplot3[surf, mesh/rows=50, mesh/cols=40, colormap/cividis] table [col sep=comma] {res/2d_avg_err_3dB_20433486alist.csv}; \addlegendentry{\tiny $\text{SNR} = 3dB$} \end{axis} \end{tikzpicture} \end{subfigure} \end{figure} \end{frame} % ================================ % Average Error multiple SNRs % ================================ \begin{frame}[t] \frametitle{Proximal Decoder} \framesubtitle{Average $\left| \nabla h \right| $ and $\left| \nabla L \right| $, ($\omega = 0.05, \gamma = 0.05, \eta = 1.5$)} \begin{figure}[H] \centering \begin{subfigure}{0.5\textwidth} \centering \begin{tikzpicture}[scale=0.4] \begin{axis}[grid=both, xlabel={k}, xtick={0, 25, ..., 100}] \addplot table[mark=none, col sep=comma, x=k, y=grad_h] {res/avg_grad_3dB_20433486alist.csv}; \addlegendentry{$\left| \nabla h \right| $} \addplot table[mark=none, col sep=comma, x=k, y=grad_l] {res/avg_grad_3dB_20433486alist.csv}; \addlegendentry{$\left| \nabla L \right| $} \end{axis} \end{tikzpicture} \caption{$\text{SNR}=3dB$} \end{subfigure}% \begin{subfigure}{0.5\textwidth} \centering \begin{tikzpicture}[scale=0.4] \begin{axis}[grid=both, xlabel={k}, xtick={0, 25, ..., 100}] \addplot table[mark=none, col sep=comma, x=k, y=grad_h] {res/avg_grad_5dB_20433486alist.csv}; \addlegendentry{$\left| \nabla h \right| $} \addplot table[mark=none, col sep=comma, x=k, y=grad_l] {res/avg_grad_5dB_20433486alist.csv}; \addlegendentry{$\left| \nabla L \right| $} \end{axis} \end{tikzpicture} \caption{$\text{SNR}=5dB$} \end{subfigure} \begin{subfigure}{0.5\textwidth} \centering \begin{tikzpicture}[scale=0.4] \begin{axis}[grid=both, xlabel={k}, xtick={0, 25, ..., 100}] \addplot table[mark=none, col sep=comma, x=k, y=grad_h] {res/avg_grad_8dB_20433486alist.csv}; \addlegendentry{$\left| \nabla h \right| $} \addplot table[mark=none, col sep=comma, x=k, y=grad_l] {res/avg_grad_8dB_20433486alist.csv}; \addlegendentry{$\left| \nabla L \right| $} \end{axis} \end{tikzpicture} \caption{$\text{SNR}=8dB$} \end{subfigure}% \begin{subfigure}{0.5\textwidth} \centering \begin{tikzpicture}[scale=0.4] \begin{axis}[grid=both, xlabel={k}, xtick={0, 25, ..., 100}] \addplot table[mark=none, col sep=comma, x=k, y=grad_h] {res/avg_grad_10dB_20433486alist.csv}; \addlegendentry{$\left| \nabla h \right| $} \addplot table[mark=none, col sep=comma, x=k, y=grad_l] {res/avg_grad_10dB_20433486alist.csv}; \addlegendentry{$\left| \nabla L \right| $} \end{axis} \end{tikzpicture} \caption{$\text{SNR}=10dB$} \end{subfigure} \end{figure} \end{frame} \begin{frame}[t] \frametitle{Proximal Decoder} \framesubtitle{BER ($\omega = 0.05, \eta = 1.5, K = 100$)} \begin{figure}[H] \centering \begin{subfigure}[c]{0.5\textwidth} \centering \begin{tikzpicture}[scale=0.52] \begin{semilogyaxis}[xlabel={SNR},ylabel={BER}, grid=both, grid style={line width=.1pt}, legend style={at={(0.05,0.05)},anchor=south west}] \foreach \gamma in {0.01, 0.05, 0.15}{ \addplot table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{\gamma}] {res/BER_FER_DFR_20433486alist.csv}; \legend{\gamma} } \legend{$\gamma=0.01$, $\gamma=0.05$, $\gamma=0.15$} \end{semilogyaxis} \end{tikzpicture} \end{subfigure}% \begin{subfigure}[c]{0.5\textwidth} \centering \begin{tikzpicture}[scale=0.7] \begin{axis}[view={75}{60}, zmode=log, xlabel={SNR}, ylabel={$\gamma$}, zlabel={BER}] \addplot3[surf, mesh/rows=17, mesh/cols=10, colormap/mako] table [col sep=comma, x=SNR, y=gamma, z=BER] {res/2d_BER_FER_DFR_20433486alist.csv}; \addlegendentry{$\gamma = \left[ 0\text{:}.01\text{:}.16 \right] $} \addplot3[red, line width=1.5] table[col sep=comma, discard if not={gamma}{0.05}, x=SNR, y=gamma, z=BER] {res/2d_BER_FER_DFR_20433486alist.csv}; \addlegendentry{$\gamma = 0.05$} \addplot3[blue, line width=1.5] table[col sep=comma, discard if not={gamma}{0.01}, x=SNR, y=gamma, z=BER] {res/2d_BER_FER_DFR_20433486alist.csv}; \addlegendentry{$\gamma = 0.01$} \addplot3[brown, line width=1.5] table[col sep=comma, discard if not={gamma}{0.15}, x=SNR, y=gamma, z=BER] {res/2d_BER_FER_DFR_20433486alist.csv}; \addlegendentry{$\gamma = 0.15$} \end{axis} \end{tikzpicture} \end{subfigure} \end{figure} \end{frame} % \begin{frame}[t] % \frametitle{Proximal Decoder} % \framesubtitle{Average Error Value ($\gamma = 0.05, \eta = 1.5$)} % % \begin{figure}[H] % \centering % % \begin{subfigure}{0.5\textwidth} % \centering % % \begin{tikzpicture}[scale=0.4] % \begin{semilogyaxis}[view={35}{60}, xlabel={$\textcolor{blue}{K}$}, ylabel={$\textcolor{red}{\omega}$}] % \addplot3[surf, mesh/rows=50, mesh/cols=40] table [col sep=comma] {res/2d_avg_err_3dB_20433486alist.csv}; % \addlegendentry{\tiny $n=204, k=102, r=0.5$} % \end{semilogyaxis} % \end{tikzpicture} % % \caption{$\text{SNR} = 3dB$} % \end{subfigure}% % \begin{subfigure}{0.5\textwidth} % \centering % % \begin{tikzpicture}[scale=0.4] % \begin{semilogyaxis}[view={35}{60}, xlabel={$\textcolor{blue}{K}$}, ylabel={$\textcolor{red}{\omega}$}] % \addplot3[surf, mesh/rows=50, mesh/cols=40] table [col sep=comma] {res/2d_avg_err_5dB_20433486alist.csv}; % \addlegendentry{\tiny $n=204, k=102, r=0.5$} % \end{semilogyaxis} % \end{tikzpicture} % % % \caption{$\text{SNR} = 5dB$} % \end{subfigure} % % \begin{subfigure}{0.5\textwidth} % \centering % % \begin{tikzpicture}[scale=0.4] % \begin{semilogyaxis}[view={35}{60}, xlabel={$\textcolor{blue}{K}$}, ylabel={$\textcolor{red}{\omega}$}] % \addplot3[surf, mesh/rows=50, mesh/cols=40] table [col sep=comma] {res/2d_avg_err_8dB_20433486alist.csv}; % \addlegendentry{\tiny $n=204, k=102, r=0.5$} % \end{semilogyaxis} % \end{tikzpicture} % % \caption{$\text{SNR} = 8dB$} % \end{subfigure}% % \begin{subfigure}{0.5\textwidth} % \centering % % \begin{tikzpicture}[scale=0.4] % \begin{semilogyaxis}[view={35}{60}, xlabel={$\textcolor{blue}{K}$}, ylabel={$\textcolor{red}{\omega}$}] % \addplot3[surf, mesh/rows=50, mesh/cols=40] table [col sep=comma] {res/2d_avg_err_10dB_20433486alist.csv}; % \addlegendentry{\tiny $n=204, k=102, r=0.5$} % \end{semilogyaxis} % \end{tikzpicture} % % % \caption{$\text{SNR} = 10dB$} % \end{subfigure} % \end{figure} % \end{frame} % % ================================ % % Decoding Failure Rate 3d % % ================================ % % % \begin{frame}[fragile, t] % \frametitle{Proximal Decoder} % \framesubtitle{Decoding Failure Rate ($\text{SNR} = 3dB, \gamma = 0.05$)} % % \begin{figure}[H] % \centering % % \begin{subfigure}{0.5\textwidth} % \centering % % \begin{tikzpicture}[scale=0.6] % \begin{semilogyaxis}[xlabel={$\textcolor{blue}{K}$}, ylabel={$\textcolor{red}{\omega}$}, xtick={20, 60, 100, 140, 180}, ytick={1e-9, 1e-6, 1e-3, 1e-0}, zlabel={DFR}, view={35}{60}, point meta min=0, point meta max=1] % \addplot3[surf, mesh/rows=40, mesh/cols=40] table [col sep=comma] {res/2d_dec_fails_w_log_k_lin_20433486alist_pgf.csv}; % \addlegendentry{\tiny $n=204, k=102, r=0.5$} % \end{semilogyaxis} % \end{tikzpicture} % % \caption{DFR of 204.33.486} % \end{subfigure}% % \begin{subfigure}{0.5\textwidth} % \centering % % \begin{algorithm}[caption={}, label={}] %$\boldsymbol{s}^{\left( 0 \right)} = \boldsymbol{0}$ %for $k=0$ to $\textcolor{blue}{K}-1$ do % $\boldsymbol{r}^{\left( k+1 \right)} = \boldsymbol{s}^{(k)} - \textcolor{red}{\omega} \nabla L \left( \boldsymbol{s}^{(k)}; \boldsymbol{y} \right) $ % Compute $\nabla h\left( \boldsymbol{r}^{\left( k+1 \right) } \right)$ % $\boldsymbol{s}^{\left( k+1 \right)} = \boldsymbol{r}^{(k+1)} - \gamma \nabla h\left( \boldsymbol{r}^{\left( k+1 \right) } \right) $ % $\boldsymbol{\hat{x}} = \text{sign}\left( \boldsymbol{s}^{\left( k+1 \right) } \right) $ % If $\boldsymbol{\hat{x}}$ passes the parity check condition, break the loop. %end for %Output $\boldsymbol{\hat{x}}$ % % \end{algorithm} % % \caption{Proximal decoding algorithm} % \end{subfigure} % \end{figure} % \end{frame} % % % ================================ % % Decoding Failure Rate % % ================================ % %% \begin{frame}[t] %% \frametitle{Proximal Decoder} %% \framesubtitle{Decoding Failure Rate} %% %% \begin{figure}[H] %% \centering %% %% \begin{subfigure}{0.32\textwidth} %% \centering %% %% \begin{tikzpicture}[scale=0.4] %% \begin{semilogyaxis}[colorbar, xlabel={$K$}, ylabel={$\omega$}, at={(0,0)}, view={0}{90}, point meta min=0, point meta max=1] %% \addplot3[surf, shader=flat, mesh/rows=40, mesh/cols=40] table [col sep=comma] {res/2d_dec_fails_w_log_k_lin_bch_7_4alist_pgf.csv}; %% \end{semilogyaxis} %% \end{tikzpicture} %% %% \caption{DFR of BCH 7 4} %% \end{subfigure}% %% \begin{subfigure}{0.32\textwidth} %% \centering %% %% \begin{tikzpicture}[scale=0.4] %% \begin{semilogyaxis}[colorbar, xlabel={$K$}, ylabel={$\omega$}, at={(0,0)}, view={0}{90}, point meta min=0, point meta max=1] %% \addplot3[surf, shader=flat, mesh/rows=40, mesh/cols=40] table [col sep=comma] {res/2d_dec_fails_w_log_k_lin_bch_31_26alist_pgf.csv}; %% \end{semilogyaxis} %% \end{tikzpicture} %% %% \caption{DFR of BCH 31 26} %% \end{subfigure}% %% \begin{subfigure}{0.32\textwidth} %% \centering %% %% \begin{tikzpicture}[scale=0.4] %% \begin{semilogyaxis}[colorbar, xlabel={$K$}, ylabel={$\omega$}, at={(0,0)}, view={0}{90}, point meta min=0, point meta max=1] %% \addplot3[surf, shader=flat, mesh/rows=40, mesh/cols=40] table [col sep=comma] {res/2d_dec_fails_w_log_k_lin_bch_31_11alist_pgf.csv}; %% \end{semilogyaxis} %% \end{tikzpicture} %% %% \caption{DFR of BCH 31 11} %% \end{subfigure} %% %% \begin{subfigure}{0.32\textwidth} %% \centering %% %% \begin{tikzpicture}[scale=0.4] %% \begin{semilogyaxis}[colorbar, xlabel={$K$}, ylabel={$\omega$}, at={(0,0)}, view={0}{90}, point meta min=0, point meta max=1] %% \addplot3[surf, shader=flat, mesh/rows=40, mesh/cols=40] table [col sep=comma] {res/2d_dec_fails_w_log_k_lin_963965alist_pgf.csv}; %% \end{semilogyaxis} %% \end{tikzpicture} %% %% \caption{DFR of 96.3.965} %% \end{subfigure}% %% \begin{subfigure}{0.32\textwidth} %% \centering %% %% \begin{tikzpicture}[scale=0.4] %% \begin{semilogyaxis}[colorbar, xlabel={$K$}, ylabel={$\omega$}, at={(0,0)}, view={0}{90}, point meta min=0, point meta max=1] %% \addplot3[surf, shader=flat, mesh/rows=40, mesh/cols=40] table [col sep=comma] {res/2d_dec_fails_w_log_k_lin_20433486alist_pgf.csv}; %% \end{semilogyaxis} %% \end{tikzpicture} %% %% \caption{DFR of 204.33.486} %% \end{subfigure}% %% \begin{subfigure}{0.32\textwidth} %% \centering %% %% \begin{tikzpicture}[scale=0.4] %% \begin{semilogyaxis}[colorbar, xlabel={$K$}, ylabel={$\omega$}, at={(0,0)}, view={0}{90}, point meta min=0, point meta max=1] %% \addplot3[surf, shader=flat, mesh/rows=40, mesh/cols=40] table [col sep=comma] {res/2d_dec_fails_w_log_k_lin_40833844alist_pgf.csv}; %% \end{semilogyaxis} %% \end{tikzpicture} %% %% \caption{DFR of 408.33.844} %% \end{subfigure} %% \end{figure} %% \end{frame} % % \begin{frame}[t] % \frametitle{Proximal Decoder} % \framesubtitle{Decoding Failure Rate ($\text{SNR}=3dB, \gamma = 0.05$)} % % % \begin{figure} % \centering % \begin{subfigure}{0.5\textwidth} % \centering % % \begin{tikzpicture}[scale=0.6] % \begin{axis}[colorbar, reverse legend, xlabel={$K$}, ylabel={$\omega$}, xtick={20, 60, 100, 140, 180}, ytick={1e-9, 1e-6, 1e-3, 1e-0}, zlabel={DFR}, view={35}{60}, point meta min=0, point meta max=1, ymode=log, % colorbar style={ % colormap/mako, % at={(1.1, 1)}, % ytick={-1, -0.5} % }, % colorbar/draw/.append code={ % \begin{axis}[ % every colorbar, % colormap/rocket, % point meta min=0, % point meta max=1, % at={(1.2,1)}, % ytick={-1, -0.5}, % ] % \pgfkeysvalueof{/pgfplots/colorbar addplot} % \end{axis} % \begin{axis}[ % every colorbar, % colormap/cividis, % point meta min=0, % point meta max=1, % at={(1.3,1)}, % ytick={0, 0.2, ..., 1}, % ] % \pgfkeysvalueof{/pgfplots/colorbar addplot} % \end{axis} %}] % \addplot3[surf, mesh/rows=40, mesh/cols=40, colormap/mako] table [col sep=comma] {res/2d_dec_fails_w_log_k_lin_bch_7_4alist_pgf.csv}; % \addlegendentry{\tiny $n=7, k=4, r=0.57$} % \addplot3[surf, mesh/rows=40, mesh/cols=40, colormap/rocket] table [col sep=comma] {res/2d_dec_fails_w_log_k_lin_bch_31_26alist_pgf.csv}; % \addlegendentry{\tiny $n=31, k=26, r=0.84$} % \addplot3[surf, mesh/rows=40, mesh/cols=40, colormap/cividis] table [col sep=comma] {res/2d_dec_fails_w_log_k_lin_bch_31_11alist_pgf.csv}; % \addlegendentry{\tiny $n=31, k=11, r=0.35$} % \end{axis} % \end{tikzpicture} % \end{subfigure}% % \begin{subfigure}{0.5\textwidth} % \centering % % \begin{tikzpicture}[scale=0.6] % \begin{semilogyaxis}[reverse legend, xlabel={$K$}, ylabel={$\omega$}, xtick={20, 60, 100, 140, 180}, ytick={1e-9, 1e-6, 1e-3, 1e-0}, zlabel={DFR}, view={35}{60}, point meta min=0, point meta max=1, colorbar, colorbar style={ % colormap/mako, % at={(1.1, 1)}, % ytick={-1, -0.5} % }, % colorbar/draw/.append code={ % \begin{axis}[ % every colorbar, % colormap/rocket, % point meta min=0, % point meta max=1, % at={(1.2,1)}, % ytick={-1, -0.5}, % ] % \pgfkeysvalueof{/pgfplots/colorbar addplot} % \end{axis} % \begin{axis}[ % every colorbar, % colormap/cividis, % point meta min=0, % point meta max=1, % at={(1.3,1)}, % ytick={0, 0.2, ..., 1}, % ] % \pgfkeysvalueof{/pgfplots/colorbar addplot} % \end{axis} % } % ] % \addplot3[surf, mesh/rows=40, mesh/cols=40, colormap/mako] table [col sep=comma] {res/2d_dec_fails_w_log_k_lin_963965alist_pgf.csv}; % \addlegendentry{\tiny $n=96, k=48, r=0.5$} % \addplot3[surf, mesh/rows=40, mesh/cols=40, colormap/rocket] table [col sep=comma] {res/2d_dec_fails_w_log_k_lin_20433486alist_pgf.csv}; % \addlegendentry{\tiny $n=204, k=102, r=0.5$} % \addplot3[surf, mesh/rows=40, mesh/cols=40, colormap/cividis] table [col sep=comma] {res/2d_dec_fails_w_log_k_lin_40833844alist_pgf.csv}; % \addlegendentry{\tiny $n=408, k=204, r=0.5$} % \end{semilogyaxis} % \end{tikzpicture} % \end{subfigure} % \end{figure} % \end{frame} \end{document}