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Exponential Strong Converse for One Helper Source Coding Problem †

We consider the one helper source coding problem posed and investigated by Ahlswede, Körner and Wyner. Two correlated sources are separately encoded and are sent to a destination where the decoder wishes to decode one of the two sources with an arbitrary small error probability of decoding. In this...

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Autor principal: Oohama, Yasutada
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515056/
https://www.ncbi.nlm.nih.gov/pubmed/33267281
http://dx.doi.org/10.3390/e21060567
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author Oohama, Yasutada
author_facet Oohama, Yasutada
author_sort Oohama, Yasutada
collection PubMed
description We consider the one helper source coding problem posed and investigated by Ahlswede, Körner and Wyner. Two correlated sources are separately encoded and are sent to a destination where the decoder wishes to decode one of the two sources with an arbitrary small error probability of decoding. In this system, the error probability of decoding goes to one as the source block length n goes to infinity. This implies that we have a strong converse theorem for the one helper source coding problem. In this paper, we provide the much stronger version of this strong converse theorem for the one helper source coding problem. We prove that the error probability of decoding tends to one exponentially and derive an explicit lower bound of this exponent function.
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spelling pubmed-75150562020-11-09 Exponential Strong Converse for One Helper Source Coding Problem † Oohama, Yasutada Entropy (Basel) Article We consider the one helper source coding problem posed and investigated by Ahlswede, Körner and Wyner. Two correlated sources are separately encoded and are sent to a destination where the decoder wishes to decode one of the two sources with an arbitrary small error probability of decoding. In this system, the error probability of decoding goes to one as the source block length n goes to infinity. This implies that we have a strong converse theorem for the one helper source coding problem. In this paper, we provide the much stronger version of this strong converse theorem for the one helper source coding problem. We prove that the error probability of decoding tends to one exponentially and derive an explicit lower bound of this exponent function. MDPI 2019-06-05 /pmc/articles/PMC7515056/ /pubmed/33267281 http://dx.doi.org/10.3390/e21060567 Text en © 2019 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Oohama, Yasutada
Exponential Strong Converse for One Helper Source Coding Problem †
title Exponential Strong Converse for One Helper Source Coding Problem †
title_full Exponential Strong Converse for One Helper Source Coding Problem †
title_fullStr Exponential Strong Converse for One Helper Source Coding Problem †
title_full_unstemmed Exponential Strong Converse for One Helper Source Coding Problem †
title_short Exponential Strong Converse for One Helper Source Coding Problem †
title_sort exponential strong converse for one helper source coding problem †
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515056/
https://www.ncbi.nlm.nih.gov/pubmed/33267281
http://dx.doi.org/10.3390/e21060567
work_keys_str_mv AT oohamayasutada exponentialstrongconverseforonehelpersourcecodingproblem