• DocumentCode
    3120803
  • Title

    The adversarial joint source-channel problem

  • Author

    Kochman, Yuval ; Mazumdar, Arya ; Polyanskiy, Yury

  • Author_Institution
    Sch. of Comput. Sci. & Eng., Hebrew Univ. of Jerusalem, Jerusalem, Israel
  • fYear
    2012
  • fDate
    1-6 July 2012
  • Firstpage
    2112
  • Lastpage
    2116
  • Abstract
    This paper introduces the problem of joint source-channel coding in the setup where channel errors are adversarial and the distortion is worst case. Unlike the situation in the case of stochastic source-channel model, the separation principle does not hold in adversarial setup. This surprising observation demonstrates that designing good distortion-correcting codes cannot be done by serially concatenating good covering codes with good error-correcting codes. The problem of the joint code design is addressed and some initial results are offered.
  • Keywords
    channel coding; concatenated codes; error correction codes; source coding; stochastic processes; adversarial joint source-channel coding problem; channel error; distortion-correcting code; error-correcting code; separation principle; serially concatenating good covering code; stochastic source-channel model; Channel coding; Decoding; Error correction codes; Joints; Manganese; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Proceedings (ISIT), 2012 IEEE International Symposium on
  • Conference_Location
    Cambridge, MA
  • ISSN
    2157-8095
  • Print_ISBN
    978-1-4673-2580-6
  • Electronic_ISBN
    2157-8095
  • Type

    conf

  • DOI
    10.1109/ISIT.2012.6283735
  • Filename
    6283735