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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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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2019
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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. |
format | Online Article Text |
id | pubmed-7515056 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |