Fixed i, j notation in proximal decoding explanation
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@ -743,10 +743,10 @@ the so-called \textit{code-constraint polynomial} is introduced as:%
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\begin{align*}
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\begin{align*}
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h\left( \boldsymbol{x} \right) =
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h\left( \boldsymbol{x} \right) =
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\underbrace{\sum_{j=1}^{n} \left( x_j^2-1 \right) ^2}_{\text{Bipolar constraint}}
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\underbrace{\sum_{i=1}^{n} \left( x_i^2-1 \right) ^2}_{\text{Bipolar constraint}}
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+ \underbrace{\sum_{i=1}^{m} \left[
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+ \underbrace{\sum_{j=1}^{m} \left[
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\left( \prod_{j\in \mathcal{A}
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\left( \prod_{i\in N \left( j \right) } x_i \right)
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\left( i \right) } x_j \right) -1 \right] ^2}_{\text{Parity constraint}}%
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-1 \right] ^2}_{\text{Parity constraint}}%
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.\end{align*}%
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.\end{align*}%
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The intention of this function is to provide a way to penalize vectors far
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The intention of this function is to provide a way to penalize vectors far
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@ -83,7 +83,7 @@ Lastly, the optimization methods utilized are described.
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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 (especially $i$, $j$, parity check matrix $\boldsymbol{H}$, etc.)
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\item \Ac{LDPC} codes (especially $i$, $j$, parity check matrix $\boldsymbol{H}$, $N\left( j \right) $ \& $N\left( i \right) $, etc.)
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\end{itemize}
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\end{itemize}
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