• DocumentCode
    3513000
  • Title

    Bounds for joint source-channel coding at high SNR

  • Author

    Tridenski, Sergey ; Zamir, Ram

  • Author_Institution
    Syst. Dept., Tel Aviv Univ., Tel Aviv, Israel
  • fYear
    2011
  • fDate
    July 31 2011-Aug. 5 2011
  • Firstpage
    771
  • Lastpage
    775
  • Abstract
    Shannon´s capacity and rate-distortion function, combined with the separation principle, provide tight bounds for the minimum possible distortion in joint source-channel coding. These bounds, however, are usually achievable only in the limit of large block length. In their 1973 paper, Ziv and Zakai provide a family of alternative capacity and rate-distortion functions, based on functionals satisfying the data-processing inequality, which potentially give tighter bounds for systems with a small block length, e.g., for scalar modulation. We examine a recently proposed approximation for the Ziv-Zakai bounds based on the Rényi-divergence functional. For the specific case of a uniform source, we derive explicit bounds on the Ziv-Zakai-Rényi rate- distortion function, which prove this approximation in the limit of small distortion. Our results can be extended, using the same technique, to more general sources.
  • Keywords
    approximation theory; combined source-channel coding; rate distortion theory; Rényi-divergence functional; Shannon´s capacity; Ziv-Zakai bound approximation; Ziv-Zakai-Rényi rate- distortion function; capacity function; data-processing inequality; joint source-channel coding; rate-distortion function; scalar modulation; separation principle; Encoding; Joints; Mutual information; Resource description framework; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Proceedings (ISIT), 2011 IEEE International Symposium on
  • Conference_Location
    St. Petersburg
  • ISSN
    2157-8095
  • Print_ISBN
    978-1-4577-0596-0
  • Electronic_ISBN
    2157-8095
  • Type

    conf

  • DOI
    10.1109/ISIT.2011.6034239
  • Filename
    6034239