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Correct abstract

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Andreas Tsouchlos 2024-01-07 20:43:26 +01:00
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letter.tex
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@ -32,8 +32,8 @@
\ifoverleaf \ifoverleaf
\input{common.tex} \input{common.tex}
\else \else
% \usetikzlibrary{external} \usetikzlibrary{external}
% \tikzexternalize[prefix=build/] \tikzexternalize[prefix=build/]
\input{lib/latex-common/common.tex} \input{lib/latex-common/common.tex}
\fi \fi
@ -91,20 +91,19 @@ Hertzstr. 16, 76187 Karlsruhe, Germany, Email: \texttt{\{first.last\}@kit.edu}}
\begin{abstract} \begin{abstract}
In this paper, the proximal decoding algorithm is considered within the In this paper, the proximal decoding algorithm is considered within the
context of \textit{additive white Gaussian noise} (AWGN) channels. context of \textit{additive white Gaussian noise} (AWGN) channels.
An analysis of the convergence behavior of the algorithm shows that it is an An analysis of the convergence behavior of the algorithm shows that
inherent property of proximal decoding to enter an proximal decoding inherently enters an oscillating behavior of the estimate
oscillating behavior of the estimate after a number of iterations. after a certain number of iterations.
Due to this oscillation, frame errors arising during decoding can often Due to this oscillation, frame errors arising during decoding can often
be attributed to only a few remaining wrongly decoded components. be attributed to only a few remaining wrongly decoded bits.
In this letter, an improvement of the proximal decoding algorithm is proposed
In this paper, an improvement of the algorithm is proposed by appending an by appending an additional step, in which these erroneous components are
additional step, in which these erroneous components are attempted to be attempted to be corrected.
corrected. We suggesst an empirical rule with which the components most likely needing
An empirical rule is suggested, with which the components most likely needing
correction can be determined. correction can be determined.
Using this insight and performing a subsequent ``ML-in-the-list'' decoding, Using this insight and performing a subsequent ``ML-in-the-list'' decoding,
a gain of up to approximately 1 dB is achieved compared to proximal decoding, a gain of up to approximately 1 dB is achieved compared to conventional
depending on the parameters chosen and the code considered. proximal decoding, depending on the decoder parameters and the code.
\end{abstract} \end{abstract}
\begin{IEEEkeywords} \begin{IEEEkeywords}