• DocumentCode
    2516037
  • Title

    Conditional entropy of non-binary LDPC codes over the BEC

  • Author

    Rathi, Vishwambhar

  • Author_Institution
    Sch. of Comput. & Commun. Sci., EPFL, Zurich
  • fYear
    2008
  • fDate
    6-11 July 2008
  • Firstpage
    945
  • Lastpage
    949
  • Abstract
    We consider transmission over the binary erasure channel (BEC) using non-binary LDPC codes. We generalize the concept of stopping sets to non-binary LDPC codes. We give a combinatorial characterization of decoding failures for non-binary LDPC codes decoded via Belief Propagation (BP). Using the density evolution analysis, we compute the asymptotic residual degree distribution for non-binary LDPC codes. In order to show that asymptotically almost every code in the non-binary LDPC ensemble has a rate equal to the design rate, we generalize the arguments of Measson, Montanari, and Urbanke to the non-binary setting. This generalization enables us to compute the conditional entropy of non-binary LDPC codes. We observe that the Maxwell construction of Measson, Montanari, and Urbanke relating the performance of MAP and BP decoding, holds in the setting of non-binary LDPC codes.
  • Keywords
    entropy codes; parity check codes; Maxwell construction; asymptotic residual degree distribution; belief propagation; binary erasure channel; combinatorial characterization; conditional entropy; decoding failure; density evolution analysis; nonbinary LDPC codes; Belief propagation; Distributed computing; Entropy; Iterative decoding; Parity check codes; Performance analysis; Probability distribution; Upper bound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2008. ISIT 2008. IEEE International Symposium on
  • Conference_Location
    Toronto, ON
  • Print_ISBN
    978-1-4244-2256-2
  • Electronic_ISBN
    978-1-4244-2257-9
  • Type

    conf

  • DOI
    10.1109/ISIT.2008.4595126
  • Filename
    4595126