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Linear code duality between channel coding and Slepian-Wolf coding

Authors: Lele Wang 0001; Young-Han Kim 0001;

Linear code duality between channel coding and Slepian-Wolf coding

Abstract

We study the duality between channel coding and Slepian-Wolf coding in the linear coding framework. We show how a code (both its encoder and decoder) for a symmetric channel coding problem can be used to design a code for a general Slepian-Wolf problem. Conversely, we show how a code for a symmetric Slepian-Wolf problem can be used to design a code for a general channel coding problem. The exact relations between the rates and the probability of errors of the two codes are established.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Average
Average
Average
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