ba-thesis/latex/presentations/final/sections/proximal_decoding.tex

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\section{Proximal Decoding}%
\label{sec:Proximal Decoding}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\subsection{Decoding Algorithm}%
\label{sub:Decoding Algorithm}
\begin{frame}[t]
\frametitle{Proximal Decoding: General Idea \cite{proximal_paper}}
\vspace*{-0.3cm}
\begin{itemize}
\item MAP rule as continuous maximization problem:
\begin{align*}
\hat{\boldsymbol{x}}
&= \argmax_{\tilde{\boldsymbol{x}}\in\mathbb{R}^n}
f_{\boldsymbol{Y}}\left( \boldsymbol{y} | \tilde{\boldsymbol{x}} \right)
f_{\boldsymbol{X}}\left( \tilde{\boldsymbol{x}} \right)\\
&= \argmax_{\tilde{\boldsymbol{x}}\in\mathbb{R}^n}
e^{-L\left( \boldsymbol{y} | \tilde{\boldsymbol{x}}\right)}
f_{\boldsymbol{X}}\left( \tilde{\boldsymbol{x}} \right),
\hspace{5mm} L\left( \boldsymbol{y} | \tilde{\boldsymbol{x}} \right)
= - \ln\left( f_{\boldsymbol{Y}}
\left( \boldsymbol{y} | \tilde{\boldsymbol{x}} \right) \right)
\end{align*}
\item Approximation of prior PDF:
\begin{align*}
f_{\boldsymbol{X}}\left( \tilde{\boldsymbol{x}} \right)
= \frac{1}{\left| \mathcal{C} \right| }
\sum_{\boldsymbol{c} \in \mathcal{C} }
\delta\left( \tilde{\boldsymbol{x}} - \left( -1 \right)^{\boldsymbol{c}}
\right)
\approx \frac{1}{Z} e^{-\gamma h\left( \tilde{\boldsymbol{x}} \right) }
\end{align*}
\item Code constraint polynomial:
\begin{minipage}[c]{0.56\textwidth}
\raggedright
\begin{align*}
h\left( \tilde{\boldsymbol{x}} \right) =
\underbrace{\sum_{i=1}^{n} \left( \tilde{x}_i^2 - 1 \right)^2}_{\text{Bipolar
constraint}}
+ \underbrace{\sum_{j=1}^{m} \left[ \left(
\prod_{i\in N_v\left( j \right)} \tilde{x}_i\right) -1 \right]^2}
_{\text{Parity constraint}},
\end{align*}
\end{minipage}%
\begin{minipage}[c]{0.4\textwidth}
\raggedleft
\begin{flalign*}
\mathcal{I} &:= \left[1\text{ : }n\right],
\hspace{2mm} \mathcal{J} := \left[1\text{ : }m\right] \\
N_v\left( j \right) &:= \left\{i | i\in \mathcal{I},
\boldsymbol{H}_{j,i} = 1
\right\}, j\in\mathcal{J}\\
\end{flalign*}
\end{minipage}
\hfill
\end{itemize}
\end{frame}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\begin{frame}[t]
\frametitle{Proximal Decoding: General Idea}
\begin{itemize}
\item Objective function:
\begin{align*}
g\left( \tilde{\boldsymbol{x}} \right)
= L\left( \boldsymbol{y} | \tilde{\boldsymbol{x}} \right)
+ \gamma h\left( \tilde{\boldsymbol{x}} \right)
\end{align*}
\note{Notational difference between $f$ and $f_X$ or $f_Y$}
\item Proximal operator \cite{proximal_algorithms}:
\begin{align*}
\text{prox}_{\gamma h} \left( \tilde{\boldsymbol{x}} \right) &\equiv
\argmin_{\boldsymbol{t}\in\mathbb{R}^n}
\gamma h\left( \boldsymbol{t} \right) + \frac{1}{2} \lVert \boldsymbol{t}
- \tilde{\boldsymbol{x}} \rVert^2 \\
&\approx \tilde{\boldsymbol{x}}
- \gamma \nabla h\left( \tilde{\boldsymbol{x}} \right),
\hspace{5mm} \gamma \text{ small}
\end{align*}
\item Iterative decoding process:
\begin{align*}
\boldsymbol{r} &\leftarrow \boldsymbol{s}
- \omega \nabla L\left( \boldsymbol{y} | \boldsymbol{s}
\right), \hspace{5mm} \omega > 0
\hspace{10mm} \text{``Gradient descent step''}\\
\boldsymbol{s} &\leftarrow \boldsymbol{r}
- \gamma \nabla h\left( \boldsymbol{r}
\right), \hspace{9mm} \gamma > 0
\hspace{10mm} \text{``Code proximal step''}
\end{align*}
\end{itemize}
\end{frame}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\begin{frame}[t, fragile]
\frametitle{Proximal Decoding: Algorithm}
\begin{itemize}
\item Iterative decoding algorithm \cite{proximal_paper}:
\end{itemize}
\vspace{2mm}
\begin{algorithm}[caption={}, label={}]
$\boldsymbol{s} \leftarrow \boldsymbol{0}$
for $K$ iterations do
$\boldsymbol{r} \leftarrow \boldsymbol{s} - \omega \nabla L \left( \boldsymbol{y} \mid \boldsymbol{s} \right) $
$\boldsymbol{s} \leftarrow \boldsymbol{r} - \gamma \nabla h\left( \boldsymbol{r} \right) $
$\boldsymbol{\hat{x}} \leftarrow \text{sign}\left( \boldsymbol{s} \right) $
if $\boldsymbol{H}\boldsymbol{\hat{c}} = \boldsymbol{0}$ do
return $\boldsymbol{\hat{c}}$
end if
end for
return $\boldsymbol{\hat{c}}$
\end{algorithm}
\end{frame}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\subsection{Analysis of Simulation Results}%
\label{sub:Analysis of Simulation Results}
\begin{frame}[t]
\frametitle{Proximal Decoding: Bit Error Rate}
\begin{itemize}
\item (3,6) regular LDPC code with $n=204, k=102$ \cite[\text{204.33.484}]{mackay_enc}
\end{itemize}
\begin{figure}[H]
\centering
\begin{tikzpicture}
\begin{axis}[
grid=both, grid style={line width=.1pt},
xlabel={$E_b / N_0$ (dB)}, ylabel={BER},
ymode=log,
legend pos=outer north east,
width=0.45\textwidth,
height=0.3375\textwidth,
ymax=1.2, ymin=0.8e-4,
xtick={1, 2, ..., 5},
xmin=0.9, xmax=5.6,
legend columns=2,
]
\addplot [ForestGreen, mark=triangle, dashed, line width=1pt]
table [x=SNR, y=BER, col sep=comma,
discard if not={gamma}{0.15},
discard if gt={SNR}{5.5},]
{res/proximal/2d_ber_fer_dfr_20433484.csv};
\addlegendentry{$\gamma = 0.15$}
\addplot [ForestGreen, mark=*, line width=1pt]
table [x=SNR, y=gamma_0_15, col sep=comma] {res/ber_paper.csv};
\addlegendentry{$\gamma = 0.15$ (Wadayama et al.)}
\addplot [NavyBlue, mark=triangle, dashed, line width=1pt]
table [x=SNR, y=BER, col sep=comma,
discard if not={gamma}{0.01},
discard if gt={SNR}{5.5},]
{res/proximal/2d_ber_fer_dfr_20433484.csv};
\addlegendentry{$\gamma = 0.01$}
\addplot [NavyBlue, mark=*, line width=1pt]
table [x=SNR, y=gamma_0_01, col sep=comma] {res/ber_paper.csv};
\addlegendentry{$\gamma = 0.01$ (Wadayama et al.)}
\addplot [RedOrange, mark=triangle, dashed, line width=1pt]
table [x=SNR, y=BER, col sep=comma,
discard if not={gamma}{0.05},
discard if gt={SNR}{5.5},]
{res/proximal/2d_ber_fer_dfr_20433484.csv};
\addlegendentry{$\gamma = 0.05$}
\addplot [RedOrange, mark=*, line width=1pt]
table [x=SNR, y=gamma_0_05, col sep=comma] {res/ber_paper.csv};
\addlegendentry{$\gamma = 0.05$ (Wadayama et al.)}
\addplot [RoyalPurple, mark=*, line width=1pt]
table [x=SNR, y=BP, col sep=comma] {res/ber_paper.csv};
\addlegendentry{BP}
\end{axis}
\end{tikzpicture}
\end{figure}
\begin{itemize}
\item Comparison of simulation with results of Wadayama et al. \cite{proximal_paper}
\end{itemize}
\end{frame}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\begin{frame}[t]
\frametitle{Proximal Decoding: Choice of $\gamma$}
\begin{itemize}
\item (3,6) regular LDPC code with $n=204, k=102$ \cite[\text{204.33.484}]{mackay_enc}
\end{itemize}
\begin{figure}[H]
\centering
\hspace*{-3.5cm}
\begin{subfigure}[c]{0.4\textwidth}
\centering
\begin{tikzpicture}
\begin{semilogyaxis}[xlabel={$E_b / N_0$ (dB)}, ylabel={BER},
grid=both, grid style={line width=.1pt},
width=\textwidth,
height=0.75\textwidth,
legend style={at={(0.05,0.05)},anchor=south west},
ymin=3e-7, ymax=1.5,]
\addplot [ForestGreen, mark=*] table [x=SNR, y=BER,
col sep=comma, discard if not={gamma}{0.15}]
{res/proximal/2d_ber_fer_dfr_20433484.csv};
\addlegendentry{$\gamma = 0.15$}
\addplot [NavyBlue, mark=*] table [x=SNR, y=BER,
col sep=comma, discard if not={gamma}{0.01}]
{res/proximal/2d_ber_fer_dfr_20433484.csv};
\addlegendentry{$\gamma = 0.01$}
\addplot [RedOrange, mark=*] table [x=SNR, y=BER,
col sep=comma, discard if not={gamma}{0.05}]
{res/proximal/2d_ber_fer_dfr_20433484.csv};
\addlegendentry{$\gamma = 0.05$}
\end{semilogyaxis}
\end{tikzpicture}
\end{subfigure}%
\hspace{5mm}
\begin{subfigure}[c]{0.4\textwidth}
\centering
\begin{tikzpicture}
\begin{axis}[view={75}{30},
zmode=log,
xlabel={$E_b / N_0$ (dB)},
ylabel={$\gamma$},
zlabel={BER},
width=\textwidth,
height=0.75\textwidth,
legend pos=outer north east,]
\addplot3[surf,
mesh/rows=17, mesh/cols=14,
colormap/viridis] table [col sep=comma,
x=SNR, y=gamma, z=BER]
{res/proximal/2d_ber_fer_dfr_20433484.csv};
\addlegendentry{$\gamma = \left[ 0\text{:}0.01\text{:}0.16 \right] $}
\addplot3[NavyBlue, line width=1.5] table [col sep=comma,
discard if not={gamma}{0.01},
x=SNR, y=gamma, z=BER]
{res/proximal/2d_ber_fer_dfr_20433484.csv};
\addlegendentry{$\gamma = 0.01$}
\addplot3[RedOrange, line width=1.5] table [col sep=comma,
discard if not={gamma}{0.05},
x=SNR, y=gamma, z=BER]
{res/proximal/2d_ber_fer_dfr_20433484.csv};
\addlegendentry{$\gamma = 0.05$}
\addplot3[ForestGreen, line width=1.5] table [col sep=comma,
discard if not={gamma}{0.15},
x=SNR, y=gamma, z=BER]
{res/proximal/2d_ber_fer_dfr_20433484.csv};
\addlegendentry{$\gamma = 0.15$}
\end{axis}
\end{tikzpicture}
\end{subfigure}
\end{figure}
\begin{itemize}
\item Not great benefit in finding the optimal value for $\gamma$
\end{itemize}
\end{frame}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%\begin{frame}[t]
% \frametitle{Proximal Decoding: Choice of $\gamma$}
%
% \begin{minipage}[c]{0.9\textwidth}
% \centering
%
% \begin{figure}[H]
% \vspace*{-0.5cm}
% \hspace*{-0.7cm}
% \centering
% \begin{subfigure}[c]{0.33\textwidth}
% \centering
% \begin{tikzpicture}[scale=0.4]
% \begin{axis}[view={75}{30},
% zmode=log,
% xlabel={$E_b / N_0$ (dB)},
% ylabel={$\gamma$},
% zlabel={BER},]
% \addplot3[surf,
% mesh/rows=17, mesh/cols=10,
% colormap/viridis] table [col sep=comma,
% x=SNR, y=gamma, z=BER]
% {res/proximal/2d_ber_fer_dfr_963965.csv};
% \addplot3[RedOrange, line width=1.5] table[col sep=comma,
% discard if not={gamma}{0.05},
% x=SNR, y=gamma, z=BER]
% {res/proximal/2d_ber_fer_dfr_963965.csv};
% \addplot3[NavyBlue, line width=1.5] table[col sep=comma,
% discard if not={gamma}{0.01},
% x=SNR, y=gamma, z=BER]
% {res/proximal/2d_ber_fer_dfr_963965.csv};
% \addplot3[ForestGreen, line width=1.5] table[col sep=comma,
% discard if not={gamma}{0.15},
% x=SNR, y=gamma, z=BER]
% {res/proximal/2d_ber_fer_dfr_963965.csv};
% \end{axis}
% \end{tikzpicture}
% \caption{$\left( 3, 6 \right)$-regular LDPC code with $n=96, k=48$ \cite[\text{96.3.965}]{mackay_enc}}
% \end{subfigure}%
% \begin{subfigure}[c]{0.33\textwidth}
% \centering
% \begin{tikzpicture}[scale=0.4]
% \begin{axis}[view={75}{30},
% zmode=log,
% xlabel={$E_b/N_0$ (dB)},
% ylabel={$\gamma$},
% zlabel={BER},]
% \addplot3[surf,
% mesh/rows=17, mesh/cols=14,
% colormap/viridis] table [col sep=comma,
% x=SNR, y=gamma, z=BER]
% {res/proximal/2d_ber_fer_dfr_20433484.csv};
% \addplot3[RedOrange, line width=1.5] table[col sep=comma,
% discard if not={gamma}{0.05},
% x=SNR, y=gamma, z=BER]
% {res/proximal/2d_ber_fer_dfr_20433484.csv};
% \addplot3[NavyBlue, line width=1.5] table[col sep=comma,
% discard if not={gamma}{0.01},
% x=SNR, y=gamma, z=BER]
% {res/proximal/2d_ber_fer_dfr_20433484.csv};
% \addplot3[ForestGreen, line width=1.5] table[col sep=comma,
% discard if not={gamma}{0.15},
% x=SNR, y=gamma, z=BER]
% {res/proximal/2d_ber_fer_dfr_20433484.csv};
% \end{axis}
% \end{tikzpicture}
% \caption{$\left( 3, 6 \right)$-regular LDPC code with $n=204, k=102$ \cite[\text{204.33.484}]{mackay_enc}}
% \end{subfigure}%
% \begin{subfigure}[c]{0.33\textwidth}
% \centering
% \begin{tikzpicture}[scale=0.4]
% \begin{axis}[view={75}{30},
% zmode=log,
% xlabel={$E_b / N_0$ (dB)},
% ylabel={$\gamma$},
% zlabel={BER},]
% \addplot3[surf,
% mesh/rows=17, mesh/cols=10,
% colormap/viridis] table [col sep=comma,
% x=SNR, y=gamma, z=BER]
% {res/proximal/2d_ber_fer_dfr_40833844.csv};
% \addplot3[RedOrange, line width=1.5] table[col sep=comma,
% discard if not={gamma}{0.05},
% x=SNR, y=gamma, z=BER]
% {res/proximal/2d_ber_fer_dfr_40833844.csv};
% \addplot3[NavyBlue, line width=1.5] table[col sep=comma,
% discard if not={gamma}{0.01},
% x=SNR, y=gamma, z=BER]
% {res/proximal/2d_ber_fer_dfr_40833844.csv};
% \addplot3[ForestGreen, line width=1.5] table[col sep=comma,
% discard if not={gamma}{0.15},
% x=SNR, y=gamma, z=BER]
% {res/proximal/2d_ber_fer_dfr_40833844.csv};
% \end{axis}
% \end{tikzpicture}
% \caption{$\left( 3, 6 \right)$-regular LDPC code with $n=408, k=204$ \cite[\text{408.33.844}]{mackay_enc}}
% \end{subfigure}
% \hspace*{-0.7cm}
% \begin{subfigure}[c]{0.33\textwidth}
% \centering
% \begin{tikzpicture}[scale=0.4]
% \begin{axis}[view={75}{30},
% zmode=log,
% xlabel={$E_b / N_0$ (dB)},
% ylabel={$\gamma$},
% zlabel={BER},]
% \addplot3[surf,
% mesh/rows=17, mesh/cols=10,
% colormap/viridis] table [col sep=comma,
% x=SNR, y=gamma, z=BER]
% {res/proximal/2d_ber_fer_dfr_bch_31_26.csv};
% \addplot3[RedOrange, line width=1.5] table[col sep=comma,
% discard if not={gamma}{0.05},
% x=SNR, y=gamma, z=BER]
% {res/proximal/2d_ber_fer_dfr_bch_31_26.csv};
% \addplot3[NavyBlue, line width=1.5] table[col sep=comma,
% discard if not={gamma}{0.01},
% x=SNR, y=gamma, z=BER]
% {res/proximal/2d_ber_fer_dfr_bch_31_26.csv};
% \addplot3[ForestGreen, line width=1.5] table[col sep=comma,
% discard if not={gamma}{0.15},
% x=SNR, y=gamma, z=BER]
% {res/proximal/2d_ber_fer_dfr_bch_31_26.csv};
% \end{axis}
% \end{tikzpicture}
% \caption{BCH code with $n=31, k=26$\\[2\baselineskip]}
% \end{subfigure}%
% \begin{subfigure}[c]{0.33\textwidth}
% \centering
% \begin{tikzpicture}[scale=0.4]
% \begin{axis}[view={75}{30},
% zmode=log,
% xlabel={$E_b / N_0$ (dB)},
% ylabel={$\gamma$},
% zlabel={BER},]
% \addplot3[surf,
% mesh/rows=17, mesh/cols=10,
% colormap/viridis] table [col sep=comma,
% x=SNR, y=gamma, z=BER]
% {res/proximal/2d_ber_fer_dfr_20455187.csv};
% \addplot3[RedOrange, line width=1.5] table[col sep=comma,
% discard if not={gamma}{0.05},
% x=SNR, y=gamma, z=BER]
% {res/proximal/2d_ber_fer_dfr_20455187.csv};
% \addplot3[NavyBlue, line width=1.5] table[col sep=comma,
% discard if not={gamma}{0.01},
% x=SNR, y=gamma, z=BER]
% {res/proximal/2d_ber_fer_dfr_20455187.csv};
% \addplot3[ForestGreen, line width=1.5] table[col sep=comma,
% discard if not={gamma}{0.15},
% x=SNR, y=gamma, z=BER]
% {res/proximal/2d_ber_fer_dfr_20455187.csv};
% \end{axis}
% \end{tikzpicture}
% \caption{$\left( 5, 10 \right)$-regular LDPC code with $n=204, k=102$ \cite[\text{204.55.187}]{mackay_enc}}
% \end{subfigure}%
% \begin{subfigure}[c]{0.33\textwidth}
% \centering
% \begin{tikzpicture}[scale=0.4]
% \begin{axis}[view={75}{30},
% zmode=log,
% xlabel={$E_b / N_0$ (dB)},
% ylabel={$\gamma$},
% zlabel={BER},]
% \addplot3[surf,
% mesh/rows=17, mesh/cols=10,
% colormap/viridis] table [col sep=comma,
% x=SNR, y=gamma, z=BER]
% {res/proximal/2d_ber_fer_dfr_pegreg252x504.csv};
% \addplot3[RedOrange, line width=1.5] table[col sep=comma,
% discard if not={gamma}{0.05},
% x=SNR, y=gamma, z=BER]
% {res/proximal/2d_ber_fer_dfr_pegreg252x504.csv};
% \addplot3[NavyBlue, line width=1.5] table[col sep=comma,
% discard if not={gamma}{0.01},
% x=SNR, y=gamma, z=BER]
% {res/proximal/2d_ber_fer_dfr_pegreg252x504.csv};
% \addplot3[ForestGreen, line width=1.5] table[col sep=comma,
% discard if not={gamma}{0.15},
% x=SNR, y=gamma, z=BER]
% {res/proximal/2d_ber_fer_dfr_pegreg252x504.csv};
% \end{axis}
% \end{tikzpicture}
% \caption{LDPC code (Progressive Edge Growth Construction) with $n=504, k=252$ \cite[\text{PEGReg252x504}]{mackay_enc}}
% \end{subfigure}%
% \end{figure}
% \end{minipage}%
% \begin{minipage}[c]{0.1\textwidth}
% \centering
%
% \begin{figure}[H]
% \vspace*{-1.5cm}
% \hspace*{-0.75cm}
% \centering
% \begin{tikzpicture}[scale=0.7]
% \begin{axis}[hide axis,
% xmin=10, xmax=50,
% ymin=0, ymax=0.4,
% legend style={draw=white!15!black,legend cell align=left}]
% \addlegendimage{surf, colormap/viridis}
% \addlegendentry{$\gamma = \left[ 0\text{ : }0.01\text{ : }0.16 \right] $};
% \addlegendimage{NavyBlue, line width=1.5pt}
% \addlegendentry{$\gamma = 0.01$};
% \addlegendimage{RedOrange, line width=1.5pt}
% \addlegendentry{$\gamma = 0.05$};
% \addlegendimage{ForestGreen, line width=1.5pt}
% \addlegendentry{$\gamma = 0.15$};
% \end{axis}
% \end{tikzpicture}
% \end{figure}
% \end{minipage}
%\end{frame}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\begin{frame}[t, fragile]
\frametitle{Proximal Decoding: Frame Error Rate}
\begin{itemize}
\item (3,6) regular LDPC code with $n=204$,\\
$k=102$ \cite[\text{204.33.484}]{mackay_enc}
\end{itemize}
\vspace*{-5mm}
\begin{minipage}{.4\textwidth}
\centering
\begin{figure}[htpb]
\centering
\begin{algorithm}[caption={}, label={}]
$\boldsymbol{s} \leftarrow \boldsymbol{0}$
for $K$ iterations do
$\boldsymbol{r} \leftarrow \boldsymbol{s} - \omega \nabla L \left( \boldsymbol{y} \mid \boldsymbol{s} \right) $
$\boldsymbol{s} \leftarrow \boldsymbol{r} - \gamma \nabla h\left( \boldsymbol{r} \right) $
$\boldsymbol{\hat{x}} \leftarrow \text{sign}\left( \boldsymbol{s} \right) $
if $\boldsymbol{H}\boldsymbol{\hat{c}} = \boldsymbol{0}$ do
return $\boldsymbol{\hat{c}}$
end if
end for
return $\boldsymbol{\hat{c}}$
\end{algorithm}
\end{figure}
\end{minipage}%
\begin{minipage}{.6\textwidth}
\centering
\begin{figure}[H]
\vspace*{-9mm}
\centering
\begin{tikzpicture}[scale=0.7]
\begin{axis}[
grid=both,
xlabel={$E_b / N_0$ (dB)}, ylabel={BER},
ymode=log,
legend style={at={(0.05,0.05)},anchor=south west},
ymax=1.5, ymin=3e-7,
width=0.7\textwidth,
height=0.6\textwidth,
]
\addplot [ForestGreen, mark=*, line width=1pt]
table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{0.15}]
{res/proximal/2d_ber_fer_dfr_20433484.csv};
\addlegendentry{$\gamma = 0.15$}
\addplot [NavyBlue, mark=*, line width=1pt]
table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{0.01}]
{res/proximal/2d_ber_fer_dfr_20433484.csv};
\addlegendentry{$\gamma = 0.01$}
\addplot [RedOrange, mark=*, line width=1pt]
table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{0.05}]
{res/proximal/2d_ber_fer_dfr_20433484.csv};
\addlegendentry{$\gamma = 0.05$}
\end{axis}
\end{tikzpicture}
\begin{tikzpicture}[scale=0.7]
\begin{axis}[
grid=both,
xlabel={$E_b / N_0$ (dB)}, ylabel={FER},
ymode=log,
legend style={at={(0.05,0.05)},anchor=south west},
ymax=1.5, ymin=3e-7,
width=0.7\textwidth,
height=0.6\textwidth,
]
\addplot [ForestGreen, mark=*, line width=1pt]
table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.15}]
{res/proximal/2d_ber_fer_dfr_20433484.csv};
\addlegendentry{$\gamma = 0.15$}
\addplot [NavyBlue, mark=*, line width=1pt]
table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.01}]
{res/proximal/2d_ber_fer_dfr_20433484.csv};
\addlegendentry{$\gamma = 0.01$}
\addplot [RedOrange, mark=*, line width=1pt]
table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.05}]
{res/proximal/2d_ber_fer_dfr_20433484.csv};
\addlegendentry{$\gamma = 0.05$}
\end{axis}
\end{tikzpicture}\\
\begin{tikzpicture}[scale=0.7]
\begin{axis}[
grid=both,
xlabel={$E_b / N_0$ (dB)}, ylabel={Decoding Failure Rate},
ymode=log,
legend style={at={(0.05,0.05)},anchor=south west},
ymax=1.5, ymin=3e-7,
width=0.7\textwidth,
height=0.6\textwidth,
]
\addplot [ForestGreen, mark=*, line width=1pt]
table [x=SNR, y=DFR, col sep=comma, discard if not={gamma}{0.15}]
{res/proximal/2d_ber_fer_dfr_20433484.csv};
\addlegendentry{$\gamma = 0.15$}
\addplot [NavyBlue, mark=*, line width=1pt]
table [x=SNR, y=DFR, col sep=comma, discard if not={gamma}{0.01}]
{res/proximal/2d_ber_fer_dfr_20433484.csv};
\addlegendentry{$\gamma = 0.01$}
\addplot [RedOrange, mark=*, line width=1pt]
table [x=SNR, y=DFR, col sep=comma, discard if not={gamma}{0.05}]
{res/proximal/2d_ber_fer_dfr_20433484.csv};
\addlegendentry{$\gamma = 0.05$}
\end{axis}
\end{tikzpicture}
\end{figure}
\end{minipage}
\end{frame}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\begin{frame}[t]
\frametitle{Proximal Decoding: Oscillation of Estimate}
\vspace*{-5mm}
\begin{itemize}
\item Single decoding using the BCH$\left( 7,4 \right) $ code; $E_b / N_0 = \SI{5}{dB}$
\end{itemize}
\begin{figure}[H]
\centering
\begin{minipage}[c]{0.25\textwidth}
\centering
\begin{tikzpicture}[scale = 0.7]
\begin{axis}[
grid=both,
xlabel={Iterations},
width=1.2\textwidth,
height=0.45\textwidth,
scale only axis,
xtick={0, 50, ..., 200},
xticklabels={0, 25, ..., 100},
]
\addplot [NavyBlue, mark=none, line width=1]
table [col sep=comma, x=k, y=comb_r_s_1]
{res/proximal/comp_bch_7_4_combined.csv};
\addplot [ForestGreen, mark=none, line width=1]
table [col sep=comma, x=k, y=grad_L_1]
{res/proximal/comp_bch_7_4_combined.csv};
\addplot [RedOrange, mark=none, line width=1]
table [col sep=comma, x=k, y=grad_h_1]
{res/proximal/comp_bch_7_4_combined.csv};
\addlegendentry{est}
\addlegendentry{$\left(\nabla L \right)_2$}
\addlegendentry{$\left(\nabla h \right)_2 $}
\end{axis}
\end{tikzpicture}\\
\begin{tikzpicture}[scale = 0.7]
\begin{axis}[
grid=both,
xlabel={Iterations},
width=1.2\textwidth,
height=0.45\textwidth,
scale only axis,
xtick={0, 50, ..., 200},
xticklabels={0, 25, ..., 100},
]
\addplot [NavyBlue, mark=none, line width=1]
table [col sep=comma, x=k, y=comb_r_s_2]
{res/proximal/comp_bch_7_4_combined.csv};
\addplot [ForestGreen, mark=none, line width=1]
table [col sep=comma, x=k, y=grad_L_2]
{res/proximal/comp_bch_7_4_combined.csv};
\addplot [RedOrange, mark=none, line width=1]
table [col sep=comma, x=k, y=grad_h_2]
{res/proximal/comp_bch_7_4_combined.csv};
\addlegendentry{est}
\addlegendentry{$\left(\nabla L \right)_3$}
\addlegendentry{$\left(\nabla h \right)_3 $}
\end{axis}
\end{tikzpicture}\\
\begin{tikzpicture}[scale = 0.7]
\begin{axis}[
grid=both,
xlabel={Iterations},
width=1.2\textwidth,
height=0.45\textwidth,
scale only axis,
xtick={0, 50, ..., 200},
xticklabels={0, 25, ..., 100},
]
\addplot [NavyBlue, mark=none, line width=1]
table [col sep=comma, x=k, y=comb_r_s_3]
{res/proximal/comp_bch_7_4_combined.csv};
\addplot [ForestGreen, mark=none, line width=1]
table [col sep=comma, x=k, y=grad_L_3]
{res/proximal/comp_bch_7_4_combined.csv};
\addplot [RedOrange, mark=none, line width=1]
table [col sep=comma, x=k, y=grad_h_3]
{res/proximal/comp_bch_7_4_combined.csv};
\addlegendentry{est}
\addlegendentry{$\left(\nabla L \right)_4$}
\addlegendentry{$\left(\nabla h \right)_4 $}
\end{axis}
\end{tikzpicture}
\end{minipage}%
\begin{minipage}[c]{0.5\textwidth}
\vspace*{-1cm}
\centering
\begin{tikzpicture}[, spy using outlines={circle, magnification=6,
connect spies}]
\begin{axis}[
grid=both,
xlabel={Iterations},
width=0.8\textwidth,
height=0.35\textwidth,
scale only axis,
xtick={0, 50, ..., 200},
xticklabels={0, 25, ..., 100},
]
\addplot [NavyBlue, mark=none, line width=1]
table [col sep=comma, x=k, y=comb_r_s_0]
{res/proximal/comp_bch_7_4_combined.csv};
\addplot [ForestGreen, mark=none, line width=1]
table [col sep=comma, x=k, y=grad_L_0]
{res/proximal/comp_bch_7_4_combined.csv};
\addplot [RedOrange, mark=none, line width=1]
table [col sep=comma, x=k, y=grad_h_0]
{res/proximal/comp_bch_7_4_combined.csv};
\addlegendentry{est}
\addlegendentry{$\left(\nabla L \right)_1$}
\addlegendentry{$\left(\nabla h \right)_1 $}
\coordinate (spypoint) at (axis cs:100,1.12);
\coordinate (magnifyglass) at (axis cs:180,2.75);
\end{axis}
\spy [black, size=2cm] on (spypoint)
in node[fill=white] at (magnifyglass);
\end{tikzpicture}
\end{minipage}%
\begin{minipage}[c]{0.25\textwidth}
\centering
\begin{tikzpicture}[scale = 0.7]
\begin{axis}[
grid=both,
xlabel={Iterations},
width=1.2\textwidth,
height=0.45\textwidth,
scale only axis,
xtick={0, 50, ..., 200},
xticklabels={0, 25, ..., 100},
]
\addplot [NavyBlue, mark=none, line width=1]
table [col sep=comma, x=k, y=comb_r_s_4]
{res/proximal/comp_bch_7_4_combined.csv};
\addplot [ForestGreen, mark=none, line width=1]
table [col sep=comma, x=k, y=grad_L_4]
{res/proximal/comp_bch_7_4_combined.csv};
\addplot [RedOrange, mark=none, line width=1]
table [col sep=comma, x=k, y=grad_h_4]
{res/proximal/comp_bch_7_4_combined.csv};
\addlegendentry{est}
\addlegendentry{$\left(\nabla L \right)_5$}
\addlegendentry{$\left(\nabla h \right)_5 $}
\end{axis}
\end{tikzpicture}\\
\begin{tikzpicture}[scale = 0.7]
\begin{axis}[
grid=both,
xlabel={Iterations},
width=1.2\textwidth,
height=0.45\textwidth,
scale only axis,
xtick={0, 50, ..., 200},
xticklabels={0, 25, ..., 100},
]
\addplot [NavyBlue, mark=none, line width=1]
table [col sep=comma, x=k, y=comb_r_s_5]
{res/proximal/comp_bch_7_4_combined.csv};
\addplot [ForestGreen, mark=none, line width=1]
table [col sep=comma, x=k, y=grad_L_5]
{res/proximal/comp_bch_7_4_combined.csv};
\addplot [RedOrange, mark=none, line width=1]
table [col sep=comma, x=k, y=grad_h_5]
{res/proximal/comp_bch_7_4_combined.csv};
\addlegendentry{est}
\addlegendentry{$\left(\nabla L \right)_6$}
\addlegendentry{$\left(\nabla h \right)_6 $}
\end{axis}
\end{tikzpicture}\\
\begin{tikzpicture}[scale = 0.7]
\begin{axis}[
grid=both,
xlabel={Iterations},
width=1.2\textwidth,
height=0.45\textwidth,
scale only axis,
xtick={0, 50, ..., 200},
xticklabels={0, 25, ..., 100},
]
\addplot [NavyBlue, mark=none, line width=1]
table [col sep=comma, x=k, y=comb_r_s_6]
{res/proximal/comp_bch_7_4_combined.csv};
\addplot [ForestGreen, mark=none, line width=1]
table [col sep=comma, x=k, y=grad_L_6]
{res/proximal/comp_bch_7_4_combined.csv};
\addplot [RedOrange, mark=none, line width=1]
table [col sep=comma, x=k, y=grad_h_6]
{res/proximal/comp_bch_7_4_combined.csv};
\addlegendentry{est}
\addlegendentry{$\left(\nabla L \right)_7$}
\addlegendentry{$\left(\nabla h \right)_7 $}
\end{axis}
\end{tikzpicture}
\end{minipage}
\end{figure}
\begin{itemize}
\item $\nabla L \left( \boldsymbol{y} \mid \tilde{\boldsymbol{x}} \right) $
and $\nabla h \left( \tilde{\boldsymbol{x}} \right) $ generally end up
in an equilibrium
\end{itemize}
\end{frame}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\begin{frame}[t]
\frametitle{Proximal Decoding: Visualization of Gradients}
\vspace*{-5mm}
\begin{figure}[H]
\centering
\begin{subfigure}[c]{0.5\textwidth}
\centering
\begin{tikzpicture}
\begin{axis}[xmin = -1.25, xmax=1.25,
ymin = -1.25, ymax=1.25,
xlabel={$x_1$}, ylabel={$x_2$},
width=0.9\textwidth,
height=0.8\textwidth,
grid=major, grid style={dotted},
view={0}{90}]
\addplot3[point meta=\thisrow{grad_norm},
point meta min=1,
point meta max=3,
quiver={u=\thisrow{grad_0},
v=\thisrow{grad_1},
scale arrows=.05,
every arrow/.append style={%
line width=.3+\pgfplotspointmetatransformed/1000,
-{Latex[length=0pt 5,width=0pt 3]}
},
},
quiver/colored = {mapped color},
colormap/rocket,
-stealth,
]
table[col sep=comma] {res/proximal/2d_grad_L.csv};
\end{axis}
\end{tikzpicture}
\caption{$\nabla L \left(\boldsymbol{y} \mid \tilde{\boldsymbol{x}} \right)$
for a repetition code with $n=2$\footnotemark}
\end{subfigure}%
\begin{subfigure}[c]{0.5\textwidth}
\centering
\begin{tikzpicture}
\begin{axis}[xmin = -1.25, xmax=1.25,
ymin = -1.25, ymax=1.25,
width=0.9\textwidth,
height=0.8\textwidth,
xlabel={$x_1$}, ylabel={$x_2$},
grid=major, grid style={dotted},
view={0}{90}]
\addplot3[point meta=\thisrow{grad_norm},
point meta min=1,
point meta max=4,
quiver={u=\thisrow{grad_0},
v=\thisrow{grad_1},
scale arrows=.03,
every arrow/.append style={%
line width=.3+\pgfplotspointmetatransformed/1000,
-{Latex[length=0pt 5,width=0pt 3]}
},
},
quiver/colored = {mapped color},
colormap/rocket,
-stealth,
]
table[col sep=comma] {res/proximal/2d_grad_h.csv};
\end{axis}
\end{tikzpicture}
\caption{$\nabla h \left( \tilde{\boldsymbol{x}} \right) $ for a repetition code
with $n=2$}
\end{subfigure}%
\end{figure}
\footnotetext{In an AWGN Channel $\nabla L\left( \boldsymbol{y} \mid
\tilde{\boldsymbol{x}}\right)
\propto \left( \tilde{\boldsymbol{x}} - \boldsymbol{y} \right)$
\cite[Sec. 4.1]{proximal_paper}}
\end{frame}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\begin{frame}[t]
\frametitle{Proximal Decoder: Oscillation of $\nabla h\left( \tilde{\boldsymbol{x}} \right) $}
\begin{itemize}
\item Single decoding using a (3,6) regular LDPC code with $n=204, k=102$
\cite[\text{204.33.484}]{mackay_enc}
% ; $\gamma = 0.05, \omega = 0.05, E_b / N_0 = \SI{5}{dB}$
\end{itemize}
\begin{figure}
\centering
\begin{subfigure}[t]{0.5\textwidth}
\centering
\begin{tikzpicture}
\begin{axis}[
grid=both,
xlabel={Iterations},
width=0.85\textwidth,
height=0.4\textwidth,
scale only axis,
xtick={0, 100, ..., 400},
xticklabels={0, 50, ..., 200},
]
\addplot [NavyBlue, mark=none, line width=1]
table [col sep=comma, x=k, y=comb_r_s_0]
{res/proximal/extreme_components_20433484_combined.csv};
\addplot [ForestGreen, mark=none, line width=1]
table [col sep=comma, x=k, y=grad_L_0]
{res/proximal/extreme_components_20433484_combined.csv};
\addplot [RedOrange, mark=none, line width=1]
table [col sep=comma, x=k, y=grad_h_0]
{res/proximal/extreme_components_20433484_combined.csv};
\addlegendentry{est}
\addlegendentry{$\left(\nabla L \right)_1$}
\addlegendentry{$\left(\nabla h \right)_1$}
\end{axis}
\end{tikzpicture}
\end{subfigure}%
\begin{subfigure}[t]{0.5\textwidth}
\centering
\begin{tikzpicture}
\begin{axis}[
point meta min = -1,
point meta max = 1,
grid=both,
xlabel={$Var\left( \nabla h\left( \tilde{\boldsymbol{x}} \right) \right) $},
ylabel={Bit error (bool)},
ytick={0, 1},
width=0.85\textwidth,
height=0.4\textwidth,
scale only axis,
% colormap/viridis,
]
\addplot [RoyalPurple, only marks,]
table [col sep=comma, x=grad_h_vars, y=bit_error]
{res/proximal/extreme_components_20433484_variance.csv};
\end{axis}
\end{tikzpicture}
\end{subfigure}
\end{figure}
\begin{itemize}
\item For larger $n$, the gradient itself starts to oscillate
\item Dynamic range of oscillation highly correlated with probability of bit error
\end{itemize}
\end{frame}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%\newcommand{\tikzbracemark}[1]{\tikz[overlay,remember picture] \node (#1) {};}
%
%\newcommand*{\AddNote}[4]{%
% \begin{tikzpicture}[overlay, remember picture]
% \draw [decoration={brace,amplitude=0.5em},decorate,ultra thick]
% ($(#3)!([yshift=1.5ex]#1)!($(#3)-(0,1)$)$) --
% ($(#3)!(#2)!($(#3)-(0,1)$)$)
% node [align=center, text width=2cm, pos=0.5, anchor=west] {#4};
% \end{tikzpicture}
%}%
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%\begin{frame}[t, fragile]
% \frametitle{Proximal Decoding: Improvement using ``ML-on-List''}
%
% \begin{itemize}
% \item Comparison of proximal \& hybrid-proximal-ML\\
% decoding simulation
% \footnote{(3,6) regular LDPC Code with $n=204, k=102$
% \cite[Code: 204.33.484]{mackay_enc}}
% results
% \end{itemize}
%
% \begin{minipage}{.4\textwidth}
% \centering
%
% \begin{algorithm}[caption={}, label={},
% basicstyle=\fontsize{6.5}{7.5}\selectfont
% ]
%$\boldsymbol{s}^{\left( 0 \right)} = \boldsymbol{0}$$\hspace{4.185cm}\tikzbracemark{prox-start}$
%for $k=0$ to $K-1$ do
% $\boldsymbol{r}^{\left( k+1 \right)} = \boldsymbol{s}^{(k)} - \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, output $\boldsymbol{\hat{x}}$
%end for $\tikzbracemark{prox-end}$
%Find $N$ most probably wrong bits $\hspace{2cm}\tikzbracemark{ml-start}$
%Generate variations $\boldsymbol{\tilde{x}}_n$ of $\boldsymbol{\hat{x}}$ with the $N$ bits modified
%Compute $d\left( \boldsymbol{ \tilde{x}}_n, \boldsymbol{\hat{x}} \right) \forall n \in \left[ 1 : N-1 \right] $
%Output $\boldsymbol{\tilde{x}}_n$ with lowest $d\left( \boldsymbol{ \tilde{x}}_n, \boldsymbol{\hat{x}} \right)$ $\tikzbracemark{ml-end}$
% \end{algorithm}
%
% \AddNote{prox-start}{prox-end}{prox-start}{\small Proximal\\Decoding}
% \AddNote{ml-start}{ml-end}{ml-start}{\small ML-on-List}
% \end{minipage}%
% \begin{minipage}{.6\textwidth}
% \centering
% \begin{figure}[H]
% \centering
% \vspace*{-12mm}
%
% \begin{tikzpicture}[scale=0.42]
% \begin{axis}[
% grid=both,
% xlabel={SNR}, ylabel={BER},
% ymode=log,
% legend style={at={(0.05,0.05)},anchor=south west},
% ymax=1.5, ymin=3e-8,
% ]
%
% \addplot table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{0.05}]
% {res/proximal/2d_ber_fer_dfr_20433484.csv};
% \addlegendentry{proximal}
% \addplot table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{0.05}]
% {res/hybrid/2d_ber_fer_dfr_20433484.csv};
% \addlegendentry{hybrid prox. \& ML}
% \end{axis}
% \end{tikzpicture}
% \begin{tikzpicture}[scale=0.42]
% \begin{axis}[
% grid=both,
% xlabel={SNR}, ylabel={FER},
% ymode=log,
% legend style={at={(0.05,0.05)},anchor=south west},
% ymax=1.5, ymin=3e-8,
% ]
%
% \addplot table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.05}]
% {res/proximal/2d_ber_fer_dfr_20433484.csv};
% \addlegendentry{proximal}
% \addplot table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.05}]
% {res/hybrid/2d_ber_fer_dfr_20433484.csv};
% \addlegendentry{hybrid prox. \& ML}
% \end{axis}
% \end{tikzpicture}\\
% \begin{tikzpicture}[scale=0.42]
% \begin{axis}[
% grid=both,
% xlabel={SNR}, ylabel={Decoding Failure Rate},
% ymode=log,
% legend style={at={(0.05,0.05)},anchor=south west},
% ymax=1.5, ymin=3e-8,
% ]
%
% \addplot table [x=SNR, y=DFR, col sep=comma, discard if not={gamma}{0.05}]
% {res/proximal/2d_ber_fer_dfr_20433484.csv};
% \addlegendentry{proximal}
% \addplot table [x=SNR, y=DFR, col sep=comma, discard if not={gamma}{0.05}]
% {res/hybrid/2d_ber_fer_dfr_20433484.csv};
% \addlegendentry{hybrid prox. \& ML}
% \end{axis}
% \end{tikzpicture}
%
% \caption{Simulation results for $\gamma = 0.05, \omega = 0.05, K=200, N=12$}
% \label{fig:simulation_results_hybrid}
% \end{figure}
% \end{minipage}
%\end{frame}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\begin{frame}[t, fragile]
\frametitle{Proximal Decoding: Improvement using \\``ML-in-the-List''}
\vspace*{-0.5cm}
\begin{itemize}
\item Improvement of proximal decoding by addition of ``ML-in-the-List'' step after
iterating
\end{itemize}
\vspace*{-2mm}
\begin{minipage}[t]{.48\textwidth}
\centering
\begin{figure}
\centering
\begin{algorithm}[caption={}, label={}, basicstyle=\fontsize{9.5}{11.5}\selectfont]
$\boldsymbol{s} \leftarrow \boldsymbol{0}$
for $K$ iterations do
$\boldsymbol{r} \leftarrow \boldsymbol{s} - \omega \nabla L \left( \boldsymbol{y} \mid \boldsymbol{s} \right) $
$\boldsymbol{s} \leftarrow \boldsymbol{r} - \gamma \nabla h\left( \boldsymbol{r} \right) $
$\boldsymbol{\hat{x}} \leftarrow \text{sign}\left( \boldsymbol{s} \right) $
if $\boldsymbol{H}\boldsymbol{\hat{c}} = \boldsymbol{0}$ do
return $\boldsymbol{\hat{c}}$
end if
end for
return $\boldsymbol{\hat{c}}$ |\Suppressnumber|
|\phantom{a}||\Reactivatenumber|
\end{algorithm}
\end{figure}
\end{minipage}%
\hfill\begin{minipage}[t]{.48\textwidth}
\centering
\begin{figure}
\centering
\begin{algorithm}[caption={}, label={}, basicstyle=\fontsize{9.5}{11.5}\selectfont]
$\boldsymbol{s} \leftarrow \boldsymbol{0}$
for $K$ iterations do
$\boldsymbol{r} \leftarrow \boldsymbol{s} - \omega \nabla L \left( \boldsymbol{y} \mid \boldsymbol{s} \right) $
$\boldsymbol{s} \leftarrow \boldsymbol{r} - \gamma \nabla h\left( \boldsymbol{r} \right) $
$\boldsymbol{\hat{x}} \leftarrow \text{sign}\left( \boldsymbol{s} \right) $
if $\boldsymbol{H}\boldsymbol{\hat{c}} = \boldsymbol{0}$
return $\boldsymbol{\hat{c}}$
end if
end for
$\textcolor{KITblue}{\text{Find }N\text{ most probably wrong bits.}}$
$\textcolor{KITblue}{\text{Generate variations } \boldsymbol{\hat{c}}_l\text{ of }\boldsymbol{\hat{c}}\text{ with the }N\text{ bits modified.}}$
$\textcolor{KITblue}{\text{Compute }d_H\left( \boldsymbol{ \hat{c}}_l, \boldsymbol{\hat{c}} \right) \text{ for all valid codewords } \boldsymbol{\hat{c}}_l}$
$\textcolor{KITblue}{\textbf{return }\boldsymbol{\hat{c}}_l\text{ with lowest }d_H\left( \boldsymbol{ \hat{c}}_l, \boldsymbol{\hat{c}} \right)}$
\end{algorithm}
\end{figure}
\end{minipage}
\end{frame}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\begin{frame}[t]
\frametitle{Proximal Decoding: Improvement using \\``ML-in-the-List''}
\vspace{-0.5cm}
\begin{itemize}
\item (3,6) regular LDPC code with $n=204, k=102$ \cite[\text{204.33.484}]{mackay_enc}
\end{itemize}
\begin{figure}[H]
\centering
\begin{tikzpicture}
\begin{axis}[
grid=both,
xlabel={$E_b / N_0$}, ylabel={BER},
ymode=log,
legend columns=2,
legend style={at={(0.5,-0.45)},anchor=south},
ymax=1.5, ymin=3e-8,
width=0.48\textwidth,
height=0.33\textwidth,
]
\addplot[ForestGreen, mark=*, line width=1pt]
table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{0.15}]
{res/proximal/2d_ber_fer_dfr_20433484.csv};
\addplot[ForestGreen, mark=triangle, densely dashed, line width=1pt]
table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{0.15}]
{res/hybrid/2d_ber_fer_dfr_20433484.csv};
\addplot[NavyBlue, mark=*, line width=1pt]
table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{0.01}]
{res/proximal/2d_ber_fer_dfr_20433484.csv};
\addplot[NavyBlue, mark=triangle, densely dashed, line width=1pt]
table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{0.01}]
{res/hybrid/2d_ber_fer_dfr_20433484.csv};
\addplot[RedOrange, mark=*, line width=1pt]
table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{0.05}]
{res/proximal/2d_ber_fer_dfr_20433484.csv};
\addplot[RedOrange, mark=triangle, densely dashed, line width=1pt]
table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{0.05}]
{res/hybrid/2d_ber_fer_dfr_20433484.csv};
\end{axis}
\end{tikzpicture}
\begin{tikzpicture}
\begin{axis}[
grid=both,
xlabel={$E_b / N_0$}, ylabel={FER},
ymode=log,
legend columns=2,
legend style={at={(0.5,-0.45)},anchor=south},
ymax=1.5, ymin=3e-8,
width=0.48\textwidth,
height=0.33\textwidth,
]
\addplot[ForestGreen, mark=*, solid, line width=1pt]
table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.15}]
{res/proximal/2d_ber_fer_dfr_20433484.csv};
\addplot[ForestGreen, mark=triangle, densely dashed, line width=1pt]
table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.15}]
{res/hybrid/2d_ber_fer_dfr_20433484.csv};
\addplot[NavyBlue, mark=*, solid, line width=1pt]
table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.01}]
{res/proximal/2d_ber_fer_dfr_20433484.csv};
\addplot[NavyBlue, mark=triangle, densely dashed, line width=1pt]
table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.01}]
{res/hybrid/2d_ber_fer_dfr_20433484.csv};
\addplot[RedOrange, mark=*, solid, line width=1pt]
table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.05}]
{res/proximal/2d_ber_fer_dfr_20433484.csv};
\addplot[RedOrange, mark=triangle, densely dashed, line width=1pt]
table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.05}]
{res/hybrid/2d_ber_fer_dfr_20433484.csv};
\end{axis}
\end{tikzpicture}
\begin{tikzpicture}
\begin{axis}[hide axis,
xmin=10, xmax=50,
ymin=0, ymax=0.4,
legend columns=3,
legend style={draw=white!15!black,legend cell align=left}]
\addlegendimage{ForestGreen, mark=*, line width=1pt}
\addlegendentry{Proximal ($\gamma = 0.15$)}
\addlegendimage{NavyBlue, mark=*, line width=1pt}
\addlegendentry{Proximal ($\gamma = 0.01$)}
\addlegendimage{RedOrange, mark=*, line width=1pt}
\addlegendentry{Proximal ($\gamma = 0.05$)}
\addlegendimage{ForestGreen, mark=triangle, densely dashed, line width=1pt}
\addlegendentry{Improved ($\gamma = 0.15, N=12$)}
\addlegendimage{NavyBlue, mark=triangle, densely dashed, line width=1pt}
\addlegendentry{Improved ($\gamma = 0.01, N=12$)}
\addlegendimage{RedOrange, mark=triangle, densely dashed, line width=1pt}
\addlegendentry{Improved ($\gamma = 0.05, N=12$)}
\end{axis}
\end{tikzpicture}
\end{figure}
\begin{itemize}
\item Up to $\sim \SI{1}{dB}$ improvement
\end{itemize}
\end{frame}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%\begin{frame}[t]
% \frametitle{Proximal Decoding: Improvement using \\``ML-in-the-List''}
%
% \vspace{-0.5cm}
%
% \begin{itemize}
% \item Comparison of proximal \& improved (correction of $N = \SI{12}{\bit}$)
% decoding simulation%
% \footnote{(3,6) regular LDPC code with $n=204, k=102$
% \cite[Code: 204.33.484]{mackay_enc}}
% results
% \end{itemize}
%
% \begin{figure}[H]
% \centering
%
% \begin{tikzpicture}
% \begin{axis}[
% grid=both,
% xlabel={$E_b / N_0$}, ylabel={BER},
% ymode=log,
% legend columns=2,
% legend style={at={(0.5,-0.45)},anchor=south},
% ymax=1.5, ymin=3e-8,
% width=0.33\textwidth,
% height=0.28\textwidth,
% ]
% \addplot[ForestGreen, mark=*, solid]
% table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{0.15}]
% {res/proximal/2d_ber_fer_dfr_20433484.csv};
% \addplot[Emerald, mark=triangle, densely dashed]
% table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{0.15}]
% {res/hybrid/2d_ber_fer_dfr_20433484.csv};
%
% \addplot[NavyBlue, mark=*, solid]
% table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{0.01}]
% {res/proximal/2d_ber_fer_dfr_20433484.csv};
% \addplot[RoyalPurple, mark=triangle, densely dashed]
% table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{0.01}]
% {res/hybrid/2d_ber_fer_dfr_20433484.csv};
%
% \addplot[RedOrange, mark=*, solid]
% table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{0.05}]
% {res/proximal/2d_ber_fer_dfr_20433484.csv};
% \addplot[red, mark=triangle, densely dashed]
% table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{0.05}]
% {res/hybrid/2d_ber_fer_dfr_20433484.csv};
% \end{axis}
% \end{tikzpicture}
% \begin{tikzpicture}
% \begin{axis}[
% grid=both,
% xlabel={$E_b / N_0$}, ylabel={FER},
% ymode=log,
% legend columns=2,
% legend style={at={(0.5,-0.45)},anchor=south},
% ymax=1.5, ymin=3e-8,
% width=0.33\textwidth,
% height=0.28\textwidth,
% ]
%
% \addplot[ForestGreen, mark=*, solid]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.15}]
% {res/proximal/2d_ber_fer_dfr_20433484.csv};
% \addplot[Emerald, mark=triangle, densely dashed]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.15}]
% {res/hybrid/2d_ber_fer_dfr_20433484.csv};
%
% \addplot[NavyBlue, mark=*, solid]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.01}]
% {res/proximal/2d_ber_fer_dfr_20433484.csv};
% \addplot[RoyalPurple, mark=triangle, densely dashed]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.01}]
% {res/hybrid/2d_ber_fer_dfr_20433484.csv};
%
% \addplot[RedOrange, mark=*, solid]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.05}]
% {res/proximal/2d_ber_fer_dfr_20433484.csv};
% \addplot[red, mark=triangle, densely dashed]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.05}]
% {res/hybrid/2d_ber_fer_dfr_20433484.csv};
% \end{axis}
% \end{tikzpicture}
% \begin{tikzpicture}
% \begin{axis}[
% grid=both,
% xlabel={$E_b / N_0$}, ylabel={Decoding Failure Rate},
% ymode=log,
% legend columns=2,
% legend style={at={(0.5,-0.45)},anchor=south},
% ymax=1.5, ymin=3e-8,
% width=0.33\textwidth,
% height=0.28\textwidth,
% ]
%
% \addplot[ForestGreen, mark=*, solid]
% table [x=SNR, y=DFR, col sep=comma, discard if not={gamma}{0.15}]
% {res/proximal/2d_ber_fer_dfr_20433484.csv};
% \addplot[Emerald, mark=triangle, densely dashed]
% table [x=SNR, y=DFR, col sep=comma, discard if not={gamma}{0.15}]
% {res/hybrid/2d_ber_fer_dfr_20433484.csv};
%
% \addplot[NavyBlue, mark=*, solid]
% table [x=SNR, y=DFR, col sep=comma, discard if not={gamma}{0.01}]
% {res/proximal/2d_ber_fer_dfr_20433484.csv};
% \addplot[RoyalPurple, mark=triangle, densely dashed]
% table [x=SNR, y=DFR, col sep=comma, discard if not={gamma}{0.01}]
% {res/hybrid/2d_ber_fer_dfr_20433484.csv};
%
% \addplot[RedOrange, mark=*, solid]
% table [x=SNR, y=DFR, col sep=comma, discard if not={gamma}{0.05}]
% {res/proximal/2d_ber_fer_dfr_20433484.csv};
% \addplot[red, mark=triangle, densely dashed]
% table [x=SNR, y=DFR, col sep=comma, discard if not={gamma}{0.05}]
% {res/hybrid/2d_ber_fer_dfr_20433484.csv};
% \end{axis}
% \end{tikzpicture}
% \begin{tikzpicture}
% \begin{axis}[hide axis,
% xmin=10, xmax=50,
% ymin=0, ymax=0.4,
% legend columns=3,
% legend style={draw=white!15!black,legend cell align=left}]
% \addlegendimage{ForestGreen, mark=*, solid}
% \addlegendentry{proximal, $\gamma = 0.15$}
%
% \addlegendimage{NavyBlue, mark=*, solid}
% \addlegendentry{proximal, $\gamma = 0.01$}
%
% \addlegendimage{RedOrange, mark=*, solid}
% \addlegendentry{proximal, $\gamma = 0.05$}
%
% \addlegendimage{Emerald, mark=triangle, densely dashed}
% \addlegendentry{improved, $\gamma = 0.15$}
%
% \addlegendimage{RoyalPurple, mark=triangle, densely dashed}
% \addlegendentry{improved, $\gamma = 0.01$}
%
% \addlegendimage{red, mark=triangle, densely dashed}
% \addlegendentry{improved, $\gamma = 0.05$}
% \end{axis}
% \end{tikzpicture}
%
% \caption{Simulation results for $\gamma = 0.05, \omega = 0.05, K=200, N=12$}
% \label{fig:simulation_results_hybrid}
% \end{figure}
%\end{frame}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%\begin{frame}[t]
% \frametitle{Proximal Decoding: Improvement}
%
% \begin{minipage}[c]{0.9\textwidth}
% \centering
% \begin{figure}[H]
% \vspace*{-0.6cm}
% \hspace*{-0.7cm}
% \centering
% \begin{subfigure}[c]{0.33\textwidth}
% \centering
%
% \begin{tikzpicture}[scale=0.4]
% \begin{axis}[
% grid=both,
% xlabel={$E_b / N_0$}, ylabel={FER},
% ymode=log,
% legend columns=1,
% legend pos=outer north east,
% %legend columns=2,
% %legend style={at={(0.5,-0.45)},anchor=south},
% ymax=1.5, ymin=8e-5,
% ]
%
% \addplot[ForestGreen, mark=*, solid]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.15}]
% {res/proximal/2d_ber_fer_dfr_963965.csv};
% \addplot[Emerald, mark=triangle, densely dashed]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.15}]
% {res/hybrid/2d_ber_fer_dfr_963965.csv};
%
% \addplot[NavyBlue, mark=*, solid]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.01}]
% {res/proximal/2d_ber_fer_dfr_963965.csv};
% \addplot[RoyalPurple, mark=triangle, densely dashed]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.01}]
% {res/hybrid/2d_ber_fer_dfr_963965.csv};
%
% \addplot[RedOrange, mark=*, solid]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.05}]
% {res/proximal/2d_ber_fer_dfr_963965.csv};
% \addplot[red, mark=triangle, densely dashed]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.05}]
% {res/hybrid/2d_ber_fer_dfr_963965.csv};
% \end{axis}
% \end{tikzpicture}
% \caption{$\left( 3, 6 \right)$-regular LDPC code with $n=96, k=48$ \cite[\text{96.3.965}]{mackay_enc}}
% \end{subfigure}%
% \begin{subfigure}[c]{0.33\textwidth}
% \centering
% \begin{tikzpicture}[scale=0.4]
% \begin{axis}[
% grid=both,
% xlabel={$E_b / N_0$}, ylabel={FER},
% ymode=log,
% legend columns=1,
% legend pos=outer north east,
% xmin=0.5, xmax=6, xtick={1, ..., 5},
% ymax=1.5, ymin=8e-5,
% ]
%
% \addplot[ForestGreen, mark=*, solid,]
% table [x=SNR, y=FER, col sep=comma,
% discard if not={gamma}{0.15},
% discard if gt={SNR}{5.5},]
% {res/proximal/2d_ber_fer_dfr_20433484.csv};
% \addplot[Emerald, mark=triangle, densely dashed]
% table [x=SNR, y=FER, col sep=comma,
% discard if not={gamma}{0.15},
% discard if gt={SNR}{5.5},]
% {res/hybrid/2d_ber_fer_dfr_20433484.csv};
%
% \addplot[NavyBlue, mark=*, solid]
% table [x=SNR, y=FER, col sep=comma,
% discard if not={gamma}{0.01},
% discard if gt={SNR}{5.5},]
% {res/proximal/2d_ber_fer_dfr_20433484.csv};
% \addplot[RoyalPurple, mark=triangle, densely dashed]
% table [x=SNR, y=FER, col sep=comma,
% discard if not={gamma}{0.01},
% discard if gt={SNR}{5.5},]
% {res/hybrid/2d_ber_fer_dfr_20433484.csv};
%
% \addplot[RedOrange, mark=*, solid]
% table [x=SNR, y=FER, col sep=comma,
% discard if not={gamma}{0.05},
% discard if gt={SNR}{5.5},]
% {res/proximal/2d_ber_fer_dfr_20433484.csv};
% \addplot[red, mark=triangle, densely dashed]
% table [x=SNR, y=FER, col sep=comma,
% discard if not={gamma}{0.05},
% discard if gt={SNR}{5.5},]
% {res/hybrid/2d_ber_fer_dfr_20433484.csv};
% \end{axis}
% \end{tikzpicture}
% \caption{$\left( 3, 6 \right)$-regular LDPC code with $n=204, k=102$ \cite[\text{204.33.484}]{mackay_enc}}
% \end{subfigure}%
% \begin{subfigure}[c]{0.33\textwidth}
% \centering
% \begin{tikzpicture}[scale=0.4]
% \begin{axis}[
% grid=both,
% xlabel={$E_b / N_0$}, ylabel={FER},
% ymode=log,
% legend columns=1,
% legend pos=outer north east,
% %legend columns=2,
% %legend style={at={(0.5,-0.45)},anchor=south},
% ymax=1.5, ymin=8e-5,
% ]
%
% \addplot[ForestGreen, mark=*, solid]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.15}]
% {res/proximal/2d_ber_fer_dfr_40833844.csv};
% \addplot[Emerald, mark=triangle, densely dashed]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.15}]
% {res/hybrid/2d_ber_fer_dfr_40833844.csv};
%
% \addplot[NavyBlue, mark=*, solid]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.01}]
% {res/proximal/2d_ber_fer_dfr_40833844.csv};
% \addplot[RoyalPurple, mark=triangle, densely dashed]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.01}]
% {res/hybrid/2d_ber_fer_dfr_40833844.csv};
%
% \addplot[RedOrange, mark=*, solid]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.05}]
% {res/proximal/2d_ber_fer_dfr_40833844.csv};
% \addplot[red, mark=triangle, densely dashed]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.05}]
% {res/hybrid/2d_ber_fer_dfr_40833844.csv};
% \end{axis}
% \end{tikzpicture}
% \caption{$\left( 3, 6 \right)$-regular LDPC code with $n=408, k=204$ \cite[\text{408.33.844}]{mackay_enc}}
% \end{subfigure}
% \hspace*{-0.7cm}
% \begin{subfigure}[c]{0.33\textwidth}
% \centering
% \begin{tikzpicture}[scale=0.4]
% \begin{axis}[
% grid=both,
% xlabel={$E_b / N_0$}, ylabel={FER},
% ymode=log,
% legend columns=1,
% legend pos=outer north east,
% %legend columns=2,
% %legend style={at={(0.5,-0.45)},anchor=south},
% ymax=1.5, ymin=8e-5,
% ]
%
% \addplot[ForestGreen, mark=*, solid]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.15}]
% {res/proximal/2d_ber_fer_dfr_bch_31_26.csv};
% \addplot[Emerald, mark=triangle, densely dashed]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.15}]
% {res/hybrid/2d_ber_fer_dfr_bch_31_26.csv};
%
% \addplot[NavyBlue, mark=*, solid]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.01}]
% {res/proximal/2d_ber_fer_dfr_bch_31_26.csv};
% \addplot[RoyalPurple, mark=triangle, densely dashed]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.01}]
% {res/hybrid/2d_ber_fer_dfr_bch_31_26.csv};
%
% \addplot[RedOrange, mark=*, solid]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.05}]
% {res/proximal/2d_ber_fer_dfr_bch_31_26.csv};
% \addplot[red, mark=triangle, densely dashed]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.05}]
% {res/hybrid/2d_ber_fer_dfr_bch_31_26.csv};
% \end{axis}
% \end{tikzpicture}
% \caption{BCH code with $n=31, k=26$\\[\baselineskip]}
% \end{subfigure}%
% \begin{subfigure}[c]{0.33\textwidth}
% \centering
% \begin{tikzpicture}[scale=0.4]
% \begin{axis}[
% grid=both,
% xlabel={$E_b / N_0$}, ylabel={FER},
% ymode=log,
% legend columns=1,
% legend pos=outer north east,
% %legend columns=2,
% %legend style={at={(0.5,-0.45)},anchor=south},
% ymax=1.5, ymin=8e-5,
% ]
%
% \addplot[ForestGreen, mark=*, solid]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.15}]
% {res/proximal/2d_ber_fer_dfr_20455187.csv};
% \addplot[Emerald, mark=triangle, densely dashed]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.15}]
% {res/hybrid/2d_ber_fer_dfr_20455187.csv};
%
% \addplot[NavyBlue, mark=*, solid]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.01}]
% {res/proximal/2d_ber_fer_dfr_20455187.csv};
% \addplot[RoyalPurple, mark=triangle, densely dashed]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.01}]
% {res/hybrid/2d_ber_fer_dfr_20455187.csv};
%
% \addplot[RedOrange, mark=*, solid]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.05}]
% {res/proximal/2d_ber_fer_dfr_20455187.csv};
% \addplot[red, mark=triangle, densely dashed]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.05}]
% {res/hybrid/2d_ber_fer_dfr_20455187.csv};
% \end{axis}
% \end{tikzpicture}
% \caption{$\left( 5, 10 \right)$-regular LDPC code with $n=204, k=102$ \cite[\text{204.55.187}]{mackay_enc}}
% \end{subfigure}%
% \begin{subfigure}[c]{0.33\textwidth}
% \centering
% \begin{tikzpicture}[scale=0.4]
% \begin{axis}[
% grid=both,
% xlabel={$E_b / N_0$}, ylabel={FER},
% ymode=log,
% legend columns=1,
% legend pos=outer north east,
% ymax=1.5, ymin=8e-5,
% ]
%
% \addplot[ForestGreen, mark=*, solid]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.15}]
% {res/proximal/2d_ber_fer_dfr_pegreg252x504.csv};
% \addplot[Emerald, mark=triangle, densely dashed]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.15}]
% {res/hybrid/2d_ber_fer_dfr_pegreg252x504.csv};
%
% \addplot[NavyBlue, mark=*, solid]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.01}]
% {res/proximal/2d_ber_fer_dfr_pegreg252x504.csv};
% \addplot[RoyalPurple, mark=triangle, densely dashed]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.01}]
% {res/hybrid/2d_ber_fer_dfr_pegreg252x504.csv};
%
% \addplot[RedOrange, mark=*, solid]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.05}]
% {res/proximal/2d_ber_fer_dfr_pegreg252x504.csv};
% \addplot[red, mark=triangle, densely dashed]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.05}]
% {res/hybrid/2d_ber_fer_dfr_pegreg252x504.csv};
% \end{axis}
% \end{tikzpicture}
% \caption{LDPC code (progressive edge growth construction) with $n=504, k=252$ \cite[\text{PEGReg252x504}]{mackay_enc}}
% \end{subfigure}%
% \end{figure}
% \end{minipage}%
% \begin{minipage}[c]{0.1\textwidth}
% \centering
%
% \begin{figure}
% \vspace*{-1.5cm}
% \hspace*{-0.7cm}
% \centering
% \begin{tikzpicture}[scale=0.7]
% \begin{axis}[hide axis,
% xmin=10, xmax=50,
% ymin=0, ymax=0.4,
% legend style={draw=white!15!black,legend cell align=left}]
% \addlegendimage{ForestGreen, mark=*, solid}
% \addlegendentry{proximal, $\gamma = 0.15$}
%
% \addlegendimage{Emerald, mark=triangle, densely dashed}
% \addlegendentry{improved, $\gamma = 0.15$}
%
% \addlegendimage{NavyBlue, mark=*, solid}
% \addlegendentry{proximal, $\gamma = 0.01$}
%
% \addlegendimage{RoyalPurple, mark=triangle, densely dashed}
% \addlegendentry{improved, $\gamma = 0.01$}
%
% \addlegendimage{RedOrange, mark=*, solid}
% \addlegendentry{proximal, $\gamma = 0.05$}
%
% \addlegendimage{red, mark=triangle, densely dashed}
% \addlegendentry{improved, $\gamma = 0.05$}
% \end{axis}
% \end{tikzpicture}
%
% \end{figure}
% \end{minipage}
%\end{frame}