Presentation 2010-03-04
Universal Slepian-Wolf Source Codes Using Low-Density Parity-Check Matrices
Tetsunao MATSUTA, Tomohiko UYEMATSU, Ryutaroh MATSUMOTO,
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Abstract(in English) Low-density parity-check (LDPC) codes become very popular in channel coding, since they can achieve the performance close maximum-likelihood (ML) decoding with linear complexity of the block length. Muramatsu et al. proposed a code using LDPC matrices for Slepian-Wolf source coding. However, since they employed ML decoding, their code is not universal, that is their decoder needs to know the probability distribution of the source. On the other hand, if there exists a universal code using LDPC matrices, we can arbitrary decrease the error probability for all sources whose achievable rate region contains the rate pair of encoders even if the probability distribution of sources is unknown. To this end, we show the existence of a universal Slepian-Wolf source code using LDPC matrices in the case where the source is stationary memoryless.
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Keyword(in English) data compression / fixed-length coding / linear codes / low-density parity-check matrices / Slepian-Wolf source coding
Paper # IT2009-99,ISEC2009-107,WBS2009-78
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Committee ISEC
Conference Date 2010/2/25(1days)
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Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Universal Slepian-Wolf Source Codes Using Low-Density Parity-Check Matrices
Sub Title (in English)
Keyword(1) data compression
Keyword(2) fixed-length coding
Keyword(3) linear codes
Keyword(4) low-density parity-check matrices
Keyword(5) Slepian-Wolf source coding
1st Author's Name Tetsunao MATSUTA
1st Author's Affiliation Dept. of Communications and Integrated Systems, Tokyo Institute of Technology()
2nd Author's Name Tomohiko UYEMATSU
2nd Author's Affiliation Dept. of Communications and Integrated Systems, Tokyo Institute of Technology
3rd Author's Name Ryutaroh MATSUMOTO
3rd Author's Affiliation Dept. of Communications and Integrated Systems, Tokyo Institute of Technology
Date 2010-03-04
Paper # IT2009-99,ISEC2009-107,WBS2009-78
Volume (vol) vol.109
Number (no) 445
Page pp.pp.-
#Pages 6
Date of Issue