Channel decoding of systematically encoded unknown redundant sources

Erik Ordentlich; Gadiel Seroussi; Sergio Verdú; Krishnamurthy Viswanathan; Marcelo J. Weinberger; Tsachy Weissman

Channel decoding of systematically encoded unknown redundant sources

Erik Ordentlich, Gadiel Seroussi, Sergio Verdú, Krishnamurthy Viswanathan, Marcelo J. Weinberger, Tsachy Weissman

Research output: Contribution to journal › Conference article › peer-review

Abstract

Practical decoders that take advantage of the source redundancy without requiring prior knowledge of the source statistics are designed. Discrete universal denoiser (DUDE)-enhanced decoders including, hard-denoising and decoding, soft-denoising and decoding, and iterative denoising and decoding, are considered. The results indicate that these decoders can provide substantial reductions in bit-error rates over conventional decoders that ignore redundancy in the source. The results involving Markov sources and repeat accumulate (RA) codes show that the proposed DUDE-enhanced belief propagation (BP) decoders closely track the performance of various source distribution dependent BP decoder structures.

Original language	English (US)
Pages (from-to)	165
Number of pages	1
Journal	IEEE International Symposium on Information Theory - Proceedings
State	Published - 2004
Event	Proceedings - 2004 IEEE International Symposium on Information Theory - Chicago, IL, United States Duration: Jun 27 2004 → Jul 2 2004

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Information Systems
Modeling and Simulation
Applied Mathematics

Cite this

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title = "Channel decoding of systematically encoded unknown redundant sources",

abstract = "Practical decoders that take advantage of the source redundancy without requiring prior knowledge of the source statistics are designed. Discrete universal denoiser (DUDE)-enhanced decoders including, hard-denoising and decoding, soft-denoising and decoding, and iterative denoising and decoding, are considered. The results indicate that these decoders can provide substantial reductions in bit-error rates over conventional decoders that ignore redundancy in the source. The results involving Markov sources and repeat accumulate (RA) codes show that the proposed DUDE-enhanced belief propagation (BP) decoders closely track the performance of various source distribution dependent BP decoder structures.",

author = "Erik Ordentlich and Gadiel Seroussi and Sergio Verd{\'u} and Krishnamurthy Viswanathan and Weinberger, {Marcelo J.} and Tsachy Weissman",

year = "2004",

language = "English (US)",

pages = "165",

journal = "IEEE International Symposium on Information Theory - Proceedings",

issn = "2157-8097",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "Proceedings - 2004 IEEE International Symposium on Information Theory ; Conference date: 27-06-2004 Through 02-07-2004",

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TY - JOUR

T1 - Channel decoding of systematically encoded unknown redundant sources

AU - Ordentlich, Erik

AU - Seroussi, Gadiel

AU - Verdú, Sergio

AU - Viswanathan, Krishnamurthy

AU - Weinberger, Marcelo J.

AU - Weissman, Tsachy

PY - 2004

Y1 - 2004

N2 - Practical decoders that take advantage of the source redundancy without requiring prior knowledge of the source statistics are designed. Discrete universal denoiser (DUDE)-enhanced decoders including, hard-denoising and decoding, soft-denoising and decoding, and iterative denoising and decoding, are considered. The results indicate that these decoders can provide substantial reductions in bit-error rates over conventional decoders that ignore redundancy in the source. The results involving Markov sources and repeat accumulate (RA) codes show that the proposed DUDE-enhanced belief propagation (BP) decoders closely track the performance of various source distribution dependent BP decoder structures.

AB - Practical decoders that take advantage of the source redundancy without requiring prior knowledge of the source statistics are designed. Discrete universal denoiser (DUDE)-enhanced decoders including, hard-denoising and decoding, soft-denoising and decoding, and iterative denoising and decoding, are considered. The results indicate that these decoders can provide substantial reductions in bit-error rates over conventional decoders that ignore redundancy in the source. The results involving Markov sources and repeat accumulate (RA) codes show that the proposed DUDE-enhanced belief propagation (BP) decoders closely track the performance of various source distribution dependent BP decoder structures.

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M3 - Conference article

AN - SCOPUS:5044245550

SN - 2157-8097

SP - 165

JO - IEEE International Symposium on Information Theory - Proceedings

JF - IEEE International Symposium on Information Theory - Proceedings

T2 - Proceedings - 2004 IEEE International Symposium on Information Theory

Y2 - 27 June 2004 through 2 July 2004

ER -

Channel decoding of systematically encoded unknown redundant sources

Abstract

All Science Journal Classification (ASJC) codes

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