DocumentCode :
1858544
Title :
Operational duality between lossy compression and channel coding: Channel decoders as lossy compressors
Author :
Gupta, Ankit ; Verdú, Sergio
fYear :
2009
fDate :
8-13 Feb. 2009
Firstpage :
119
Lastpage :
123
Abstract :
We explore the duality between lossy compression and channel coding in the operational sense: whether a capacity-achieving encoder-decoder sequence achieves the rate distortion function of the dual problem when the channel decoder [encoder] is the source compressor [decompressor, resp]. We show that, if used as a lossy compressor, the maximum-likelihood channel decoder of a randomly chosen capacity-achieving codebook achieves the rate-distortion function almost surely. However, operational duality does not hold for every capacity achieving encoder-decoder sequence. We show that there exist optimal channel coding schemes, which operate far from the rate-distortion function when used for the dual lossy compression problem.
Keywords :
channel coding; maximum likelihood decoding; capacity-achieving codebook; capacity-achieving encoder-decoder sequence; dual lossy compression; lossy compressor; maximum likelihood channel decoder; operational duality; optimal channel coding; rate distortion function; source compressor; Additive noise; Channel coding; Compressors; Constraint optimization; Constraint theory; Cost function; Data compression; Maximum likelihood decoding; Mutual information; Rate-distortion; Channel coding with cost constraints; discrete memoryless sources; lossy data compression; rate-distortion theory; source-channel coding duality;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory and Applications Workshop, 2009
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-3990-4
Type :
conf
DOI :
10.1109/ITA.2009.5044932
Filename :
5044932
Link To Document :
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