\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}