• DocumentCode
    2946129
  • Title

    Ensemble Analysis on Syndrome Entropy of Binary Linear Codes

  • Author

    Wadayama, Tadashi

  • Author_Institution
    Graduate Sch. of Eng., Nagoya Inst. of Technol.
  • fYear
    2006
  • fDate
    9-14 July 2006
  • Firstpage
    1559
  • Lastpage
    1563
  • Abstract
    Syndrome entropy of a binary linear code is the entropy corresponding to a product of a binary m times n matrix and a vector of length n generated from a binary i.i.d. source. In this paper, we investigate the syndrome entropy of a matrix contained in an ensemble of m times n binary matrices such as constant row weight ensembles. In the analysis, the first and the second moment of the coset weight distribution of an ensemble play a crucial role
  • Keywords
    binary codes; linear codes; matrix algebra; vectors; binary linear codes; binary matrices; constant row weight ensembles; coset weight distribution; ensemble analysis; syndrome entropy; vector; Computer simulation; Distributed computing; Entropy; Linear code; Maximum likelihood decoding; Parity check codes; Random variables; Symmetric matrices; Upper bound; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2006 IEEE International Symposium on
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    1-4244-0505-X
  • Electronic_ISBN
    1-4244-0504-1
  • Type

    conf

  • DOI
    10.1109/ISIT.2006.262130
  • Filename
    4036229