• DocumentCode
    3428015
  • Title

    Achieving the Rate-Distortion Bound with Linear Codes

  • Author

    Chen, Jun ; He, Da-Ke ; Jagmohan, Ashish

  • Author_Institution
    IBM T. J. Watson Res. Center, Yorktown Heights
  • fYear
    2007
  • fDate
    2-6 Sept. 2007
  • Firstpage
    662
  • Lastpage
    667
  • Abstract
    We show that linear codes can achieve the rate- distortion bound of a discrete memoryless source with arbitrary distortion measure if the size of finite field is sufficiently large. An alternative approach based on multilevel quantization is proposed. The optimality of this approach and the sufficiency of binary linear codes are established. Linear codes are also shown to be able to achieve a simplified version of the El Gamal-Cover (EGC) region for multiple description coding.
  • Keywords
    binary codes; distortion; linear codes; quantisation (signal); El Gamal-cover region; arbitrary distortion; binary linear codes; discrete memoryless source; multilevel quantization; multiple description coding; rate-distortion bound; Channel coding; Decoding; Distortion measurement; Galois fields; Linear code; Nonlinear distortion; Quantization; Rate-distortion; Size measurement; Source coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Workshop, 2007. ITW '07. IEEE
  • Conference_Location
    Tahoe City, CA
  • Print_ISBN
    1-4244-1564-0
  • Electronic_ISBN
    1-4244-1564-0
  • Type

    conf

  • DOI
    10.1109/ITW.2007.4313153
  • Filename
    4313153