Added proper data to average error slide
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{
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"duration": 397.47346705402015,
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"name": "2d_avg_error_20433484",
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"platform": "Linux-6.1.6-arch1-3-x86_64-with-glibc2.36",
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"SNR": 1,
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"K": 200,
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"end_time": "2023-01-24 23:34:34.589607"
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}
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{
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"duration": 297.83671288599726,
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"name": "2d_avg_error_20433484",
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"platform": "Linux-6.1.6-arch1-3-x86_64-with-glibc2.36",
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"SNR": 3,
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"K": 200,
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"end_time": "2023-01-24 23:26:41.141614"
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}
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{
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"duration": 555.086431461008,
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"name": "2d_avg_error_20433484",
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"platform": "Linux-6.1.6-arch1-3-x86_64-with-glibc2.36",
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"SNR": 5,
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"K": 200,
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"end_time": "2023-01-24 23:17:21.185610"
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}
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{
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"duration": 870.158950668003,
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"name": "2d_avg_error_20433484",
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"platform": "Linux-6.1.6-arch1-3-x86_64-with-glibc2.36",
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"SNR": 8,
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"K": 200,
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"end_time": "2023-01-24 23:06:24.712365"
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}
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@ -583,8 +583,10 @@ Output $\boldsymbol{\hat{x}}$
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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\begin{frame}[t]
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\begin{frame}[t]
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\frametitle{Proximal Decoding: Average Error}
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\frametitle{Proximal Decoding: Average Error}
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\setcounter{footnote}{0}
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\begin{figure}[H]
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\begin{figure}[H]
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\vspace*{-0.5cm}
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\centering
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\centering
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\begin{tikzpicture}[scale=0.7]
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\begin{tikzpicture}[scale=0.7]
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@ -594,19 +596,37 @@ Output $\boldsymbol{\hat{x}}$
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ylabel={Average $\left| \boldsymbol{x}-\boldsymbol{\hat{x}} \right|$},
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ylabel={Average $\left| \boldsymbol{x}-\boldsymbol{\hat{x}} \right|$},
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]
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]
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\addplot table [col sep=comma,
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\addplot table [col sep=comma,
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discard if not={gamma}{0.05},
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discard if not={omega}{0.0774263682681127},
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x=SNR, y=BER]
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x=k, y=err, mark=none]
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{res/proximal/2d_ber_fer_dfr_20433484.csv};
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{res/proximal/2d_avg_error_20433484_1db.csv};
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\addlegendentry{$E_b / N_0 = \SI{1}{dB}$}
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\addplot table [col sep=comma,
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discard if not={omega}{0.0774263682681127},
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x=k, y=err, mark=none]
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{res/proximal/2d_avg_error_20433484_3db.csv};
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\addlegendentry{$E_b / N_0 = \SI{3}{dB}$}
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\addplot table [col sep=comma,
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discard if not={omega}{0.052233450742668434},
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x=k, y=err, mark=none]
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{res/proximal/2d_avg_error_20433484_5db.csv};
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\addlegendentry{$E_b / N_0 = \SI{5}{dB}$}
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\addplot table [col sep=comma,
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discard if not={omega}{0.052233450742668434},
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x=k, y=err, mark=none]
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{res/proximal/2d_avg_error_20433484_8db.csv};
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\addlegendentry{$E_b / N_0 = \SI{8}{dB}$}
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\end{axis}
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\end{axis}
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\end{tikzpicture}
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\end{tikzpicture}
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\caption{Average error value}
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\caption{Average error for $\SI{500000}{iterations},
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\omega = 0.05, \gamma = 0.05, K=200$\footnotemark}
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\end{figure}
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\end{figure}
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\footnotetext{Simulation performed with (3,6) regular LDPC Code with $n=204, k=102$
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\cite[Code: 204.33.484]{mackay_enc}}
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\begin{itemize}
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\begin{itemize}
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\item For large $k$, the average error asymptotically approaches a minimum, non-zero value
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\item For large $k$, the average error asymptotically approaches a minimum, non-zero value
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\item The minimum value is generally relatively small: ``Only a few bits are wrong''
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\end{itemize}
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\end{itemize}
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\end{frame}
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\end{frame}
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