• DocumentCode
    2652994
  • Title

    Polar codes are optimal for lossy source coding

  • Author

    Korada, Satish Babu ; Urbanke, Rüdiger

  • Author_Institution
    EPFL, Lausanne, Switzerland
  • fYear
    2009
  • fDate
    11-16 Oct. 2009
  • Firstpage
    149
  • Lastpage
    153
  • Abstract
    We consider lossy source compression of a binary symmetric source with Hamming distortion function. We show that polar codes combined with a low-complexity successive cancellation encoding algorithm achieve the rate-distortion bound. The complexity of both the encoding and the decoding algorithm is O(N log(N)), where N is the blocklength of the code. Our result mirrors Ar¿kan´s capacity achieving polar code construction for channel coding.
  • Keywords
    channel coding; computational complexity; rate distortion theory; Hamming distortion function; binary symmetric source; channel coding; decoding algorithm; lossy source coding; polar codes; Belief propagation; Channel coding; Decoding; Hydrogen; Information theory; Iterative algorithms; Nonlinear distortion; Parity check codes; Rate-distortion; Source coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Workshop, 2009. ITW 2009. IEEE
  • Conference_Location
    Taormina
  • Print_ISBN
    978-1-4244-4982-8
  • Electronic_ISBN
    978-1-4244-4983-5
  • Type

    conf

  • DOI
    10.1109/ITW.2009.5351488
  • Filename
    5351488