• DocumentCode
    3118058
  • Title

    Lossy joint source-channel coding in the finite blocklength regime

  • Author

    Kostina, Victoria ; Verdú, Sergio

  • Author_Institution
    Dept. of Electr. Eng., Princeton Univ., Princeton, NJ, USA
  • fYear
    2012
  • fDate
    1-6 July 2012
  • Firstpage
    1553
  • Lastpage
    1557
  • Abstract
    This paper shows new tight finite-blocklength bounds for the best achievable lossy joint source-channel code rate, and demonstrates that joint source-channel code design brings considerable performance advantage over a separate one in the non-asymptotic regime. A joint source-channel code maps a block of k source symbols onto a length - n channel codeword, and the fidelity of reproduction at the receiver end is measured by the probability ϵ that the distortion exceeds a given threshold d. For memoryless sources and channels, it is demonstrated that the parameters of the best joint source-channel code must satisfy nC - kR(d) ≈ √(nV + kV(d)) Q-1 (ϵ), where C and V are the channel capacity and dispersion, respectively; R(d) and V(d) are the source rate-distortion and rate-dispersion functions; and Q is the standard Gaussian complementary cdf.
  • Keywords
    channel coding; source coding; channel capacity; channel dispersion; finite blocklength regime; finite-blocklength bounds; lossy joint source-channel coding; memoryless channels; memoryless sources; non-asymptotic regime; rate-dispersion functions; source rate-distortion; source-channel code maps; standard Gaussian complementary cdf; Approximation methods; Channel coding; Decoding; Dispersion; Distortion measurement; Joints; Achievability; Shannon theory; converse; finite blocklength regime; joint source-channel coding; lossy source coding; memoryless sources; rate-distortion theory;
  • 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.2012.6283533
  • Filename
    6283533