Merge branch 'feature/17_01_2023'

latex/presentations/17_01_2023/.latexmkrc

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

latex/presentations/17_01_2023/build.sh

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+mkdir -p build/build
+latexmk -pdf

latex/presentations/17_01_2023/presentation.tex

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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}

latex/presentations/17_01_2023/res/2d_ber_fer_dfr_20433484_hybrid.csv

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latex/presentations/17_01_2023/res/2d_ber_fer_dfr_20433484_hybrid_metadata.json

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+{
+    "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"
+}

latex/presentations/17_01_2023/res/2d_ber_fer_dfr_20433484_proximal.csv

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latex/presentations/17_01_2023/res/2d_ber_fer_dfr_20433484_proximal_metadata.json

@@ -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",
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+    "end_time": "2023-01-17 18:58:33.496993"
+}