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