Removed second time complexity slide; Split ADMM results slide into two
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@ -113,6 +113,11 @@
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\begin{frame}[t]
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\frametitle{Comparison: Time Complexity}
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\begin{itemize}
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\item Both algorithms are $\mathcal{O}\left( n \right)$ on average
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\item LP decoding implementation significantly faster
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\end{itemize}
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\begin{figure}[H]
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\centering
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@ -565,60 +570,10 @@
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\end{frame}
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\begin{frame}[t]
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\frametitle{Time Complexity}
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\vspace*{-8mm}
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\begin{itemize}
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\item Both algorithms are $\mathcal{O}\left( n \right)$ on average
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\item LP decoding implementation significantly faster
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\end{itemize}
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\begin{figure}[h]
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\centering
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\begin{tikzpicture}
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\begin{axis}[grid=both,
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xlabel={$n$}, ylabel={Time per frame (s)},
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width=0.45\textwidth,
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height=0.3375\textwidth,
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legend style={at={(0.03,0.96)},anchor=north west},
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%legend pos=outer north east,
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legend cell align={left},]
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\addplot[RedOrange, only marks, mark=*]
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table [col sep=comma, x=n, y=spf]
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{res/proximal/fps_vs_n.csv};
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\addlegendentry{Proximal decoding}
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\addplot[RoyalPurple, only marks, mark=triangle*]
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table [col sep=comma, x=n, y=spf]
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{res/admm/fps_vs_n.csv};
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\addlegendentry{ADMM}
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\end{axis}
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\end{tikzpicture}
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\vspace*{-2mm}
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\caption{Timing requirements of the proximal decoding and LP decoding imlementations%
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\protect\footnotemark{}}
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\end{figure}%
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\footnotetext{The points shown were calculated by evaluating the metadata
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of BER simulation results for the following codes:
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BCH $\left( 31, 11 \right)$;
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BCH $\left( 31, 26 \right)$;
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\cite[\text{96.3.965; 204.33.484;
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204.55.187; 408.33.844; PEGReg252x504}]{mackay_enc}
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}
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\end{frame}
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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\subsection{Theoretical Comparison}%
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\label{sub:Theoretical Comparison}
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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\begin{frame}[t, fragile]
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\frametitle{Comparison of Proximal Decoding and\\LP Decoding using ADMM}
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@ -838,17 +838,59 @@
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%legend style={at={(0.03,0.04)},anchor=south west},
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legend pos=outer north east,
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]
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\addplot[RedOrange, line width=1pt]
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\addplot[RedOrange, line width=1pt, mark=*]
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table [col sep=comma, x=SNR, y=FER,
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discard if gt={SNR}{2.2},
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]
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{res/admm/fer_paper_margulis.csv};
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\addlegendentry{ADMM (Barman et al.)}
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\addplot[NavyBlue, only marks, mark=o, line width=1pt]
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\addplot[RoyalPurple, line width=1pt, mark=*]
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table [col sep=comma, x=SNR, y=FER, discard if gt={SNR}{2.2},]
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{res/generic/fer_bp_mackay_margulis.csv};
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\addlegendentry{BP (Barman et al.)}
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\end{axis}
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\end{tikzpicture}
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\caption{Comparison of datapoints from Barman et al. with own simulation results%
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\protect\footnotemark{}}
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\label{fig:admm:results}
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\end{figure}%
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%
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\footnotetext{``Margulis'' LDPC code with $n = 2640$, $k = 1320$
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\cite[\text{Margulis2640.1320.3}]{mackay_enc}; $K=200, \mu = 3.3, \rho=1.9,
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\epsilon_{\text{pri}} = 10^{-5}, \epsilon_{\text{dual}} = 10^{-5}$
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}%
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%
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\end{frame}
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\begin{frame}[t]
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\frametitle{LP Decoding using ADMM}
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\begin{figure}[H]
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\centering
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\begin{tikzpicture}
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\begin{axis}[
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grid=both,
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xlabel={$E_b / N_0 \left( \text{dB} \right) $}, ylabel={FER},
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ymode=log,
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width=0.45\textwidth,
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height=0.325\textwidth,
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%legend style={at={(0.03,0.04)},anchor=south west},
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legend pos=outer north east,
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]
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\addplot[RedOrange, line width=1pt, mark=*]
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table [col sep=comma, x=SNR, y=FER,
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discard if gt={SNR}{2.2},
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]
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{res/admm/fer_paper_margulis.csv};
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\addlegendentry{ADMM (Barman et al.)}
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\addplot[NavyBlue, mark=*, line width=1pt, densely dashed]
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table [col sep=comma, x=SNR, y=FER,]
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{res/admm/ber_margulis264013203.csv};
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\addlegendentry{ADMM (Own results)}
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\addplot[RoyalPurple, line width=1pt, densely dashed]
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\addplot[RoyalPurple, line width=1pt, mark=*]
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table [col sep=comma, x=SNR, y=FER, discard if gt={SNR}{2.2},]
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{res/generic/fer_bp_mackay_margulis.csv};
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\addlegendentry{BP (Barman et al.)}
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