• DocumentCode
    2985784
  • Title

    Reconstruction of convolutional codes from noisy observation

  • Author

    Côte, Maxime ; Sendrier, Nicolas

  • Author_Institution
    IPSIS, Cesson-Sevigne, France
  • fYear
    2009
  • fDate
    June 28 2009-July 3 2009
  • Firstpage
    546
  • Lastpage
    550
  • Abstract
    In this work, we present an algorithm to recover the convolutional code which has produced a observed noisy binary sequence. It makes use of previously unpublished structural properties of convolutional codes that we present here. This allow us to improve on previously known techniques. The algorithm was fully implemented and runs in reasonable time for practical parameters values.
  • Keywords
    binary sequences; convolutional codes; binary sequence; convolutional code reconstruction; Binary codes; Binary sequences; Block codes; Context; Convolutional codes; Dissolved gas analysis; Error correction codes; Linear algebra; Linear systems; Reverse engineering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2009. ISIT 2009. IEEE International Symposium on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4244-4312-3
  • Electronic_ISBN
    978-1-4244-4313-0
  • Type

    conf

  • DOI
    10.1109/ISIT.2009.5205729
  • Filename
    5205729
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2985784