• 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