• DocumentCode
    2050864
  • Title

    Raptor codes

  • Author

    Shokrollahi, Amin

  • Author_Institution
    Ecole Polytech. Fed. de Lausanne, Switzerland
  • fYear
    2004
  • fDate
    27 June-2 July 2004
  • Firstpage
    36
  • Abstract
    This paper exhibits a class of universal Raptor codes: for a given integer k, and any real ε>0, Raptor codes in this class produce a potentially infinite stream of symbols such that any subset of symbols of size k(1 + ε) is sufficient to recover the original k symbols, with high probability. Each output symbol is generated using O(log(1/ε)) operations, and the original symbols are recovered from the collected ones with O(klog(1/ε)) operations.
  • Keywords
    Hamming codes; error statistics; linear codes; probability; belief propagation decoding algorithm; infinite symbol stream; linear time codes; probability distribution; universal Raptor codes; Algorithm design and analysis; Application software; Arithmetic; Belief propagation; Computer networks; Decoding; Encoding; Hamming weight; Probability distribution; Sampling methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2004. ISIT 2004. Proceedings. International Symposium on
  • Print_ISBN
    0-7803-8280-3
  • Type

    conf

  • DOI
    10.1109/ISIT.2004.1365073
  • Filename
    1365073