• DocumentCode
    3208839
  • Title

    Lower bounds on the rate-distortion function of individual LDGM codes

  • Author

    Kudekar, Shrinivas ; Urbanke, Rüdiger

  • Author_Institution
    Sch. of Comput. & Commun. Sci., Ecole Polytech. Fed. de Lausanne, Lausanne
  • fYear
    2008
  • fDate
    1-5 Sept. 2008
  • Firstpage
    379
  • Lastpage
    384
  • Abstract
    We consider lossy compression of a binary symmetric source by means of a low-density generator-matrix code. We derive two lower bounds on the rate distortion function which are valid for any low-density generator-matrix code with a given node degree distribution L(x) on the set of generators and for any encoding algorithm. These bounds show that, due to the sparseness of the code, the performance is strictly bounded away from the Shannon rate-distortion function. In this sense, our bounds represent a natural generalization of Gallagerpsilas bound on the maximum rate at which low-density parity-check codes can be used for reliable transmission. Our bounds are inspired by the recent work of Dimakis, Wainwright, and Ramchandran, but they apply to individual codes.
  • Keywords
    data compression; encoding; parity check codes; rate distortion theory; Gallager bound; encoding algorithm; lossy compression; low-density generator-matrix code; low-density parity-check codes; node degree distribution; rate-distortion function; Belief propagation; Distributed computing; Iterative algorithms; Magnetic resonance; Parity check codes; Random variables; Rate distortion theory; Rate-distortion; Sparse matrices; Turbo codes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Turbo Codes and Related Topics, 2008 5th International Symposium on
  • Conference_Location
    Lausanne
  • Print_ISBN
    978-1-4244-2862-5
  • Electronic_ISBN
    978-1-4244-2863-2
  • Type

    conf

  • DOI
    10.1109/TURBOCODING.2008.4658729
  • Filename
    4658729