Added introduction to theoretical background; minor changes to decoding techniques
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@ -40,7 +40,7 @@ $f$ has to be minimized under certain constraints:%
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In contrast to the established message-passing decoding algorithms,
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In contrast to the established message-passing decoding algorithms,
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the viewpoint then changes from observing the decoding process in its
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the viewpoint then changes from observing the decoding process in its
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tanner graph based representation (as shown in figure \ref{fig:dec:tanner})
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tanner graph representation (as shown in figure \ref{fig:dec:tanner})
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into a spacial representation, where the codewords are some of the edges
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into a spacial representation, where the codewords are some of the edges
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of a hypercube and the goal is to find that point $\boldsymbol{x}$,
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of a hypercube and the goal is to find that point $\boldsymbol{x}$,
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\todo{$\boldsymbol{x}$? Or some other variable?}
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\todo{$\boldsymbol{x}$? Or some other variable?}
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@ -255,7 +255,8 @@ immediately approximalted by a gradient-descent step:%
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\hspace{5mm} \gamma \text{ small}
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\hspace{5mm} \gamma \text{ small}
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.\end{align*}%
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.\end{align*}%
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%
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%
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The second step thus becomes%
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The second step thus becomes \todo{Write the formulation optimization problem properly
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(as shown in the introductory section)}%
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%
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%
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\begin{align*}
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\begin{align*}
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\boldsymbol{s} \leftarrow \boldsymbol{r} - \gamma \nabla h\left( \boldsymbol{r} \right),
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\boldsymbol{s} \leftarrow \boldsymbol{r} - \gamma \nabla h\left( \boldsymbol{r} \right),
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@ -1,15 +1,14 @@
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\chapter{Theoretical Background}%
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\chapter{Theoretical Background}%
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\label{chapter:theoretical_background}
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\label{chapter:theoretical_background}
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In this chapter, the theoretical background necessary to understand this
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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work is given.
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\section{Preliminaries: Channel Model and Modulation}
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First, the used notation is clarified.
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\label{sec:theo:Preliminaries: Channel Model and Modulation}
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The physical aspects are detailed - the used modulation scheme and channel model.
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A short introduction of channel coding with binary linear codes and especially
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\begin{itemize}
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\ac{LDPC} codes is given.
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\item \Ac{AWGN}
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The established methods of decoding LPDC codes are briefly explained.
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\item \Ac{BPSK}
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Lastly, the optimization methods utilized are described.
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\end{itemize}
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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@ -21,8 +20,8 @@
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%
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%
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\begin{itemize}
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\begin{itemize}
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\item General remarks on notation (matrices, PDF, etc.)
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\item General remarks on notation (matrices, \ldots)
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\item \sout{Diagram from midterm presentation}
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\item Probabilistic quantities (random variables, \acp{PDF}, \ldots)
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\end{itemize}
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\end{itemize}
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%
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%
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@ -59,6 +58,17 @@
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\caption{Overview of notation}
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\caption{Overview of notation}
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\label{fig:notation}
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\label{fig:notation}
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\end{figure}
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\end{figure}
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\todo{Move figure to 'Channel and Modulation'}
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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\section{Preliminaries: Channel Model and Modulation}
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\label{sec:theo:Preliminaries: Channel Model and Modulation}
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\begin{itemize}
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\item \Ac{AWGN}
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\item \Ac{BPSK}
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\end{itemize}
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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@ -68,7 +78,7 @@
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\begin{itemize}
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\begin{itemize}
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\item Introduction
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\item Introduction
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\item Binary linear codes
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\item Binary linear codes
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\item \Ac{LDPC} codes
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\item \Ac{LDPC} codes (especially $i$, $j$, parity check matrix $\boldsymbol{H}$, etc.)
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\end{itemize}
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\end{itemize}
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