• DocumentCode
    2453937
  • Title

    On the Hamming weight of binary sequences and linear complexity

  • Author

    Sorokine, Vladislav ; Pasupat, Subbarayan

  • Author_Institution
    Qualcomm Inc., San Diego, CA, USA
  • fYear
    1998
  • fDate
    16-21 Aug 1998
  • Firstpage
    103
  • Abstract
    It is shown that the Hamming weight of a binary sequence can be determined from the rank defect of an appropriate Bezoutian matrix. The rank defect of a Hankel matrix for a linear recurring sequence obtained from the Mattson-Solomon polynomial of the “time domain” sequence, is a function of the Hamming weight of the sequence. As applications of these ideas, we derive an extension of a theorem by MacWilliams and Sloane (1977) regarding the Hamming weight of sequences, and prove a result similar to that of Chien (1972) and Blahut
  • Keywords
    Hankel matrices; binary sequences; encoding; polynomials; Bezoutian matrix; Hamming weight; Hankel matrix; Mattson-Solomon polynomial; binary sequences; linear complexity; linear recurring sequence; rank defect; time domain sequence; Binary sequences; Character generation; Codes; Councils; Educational institutions; Error correction; Hamming weight; Linear algebra; Polynomials; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 1998. Proceedings. 1998 IEEE International Symposium on
  • Conference_Location
    Cambridge, MA
  • Print_ISBN
    0-7803-5000-6
  • Type

    conf

  • DOI
    10.1109/ISIT.1998.708690
  • Filename
    708690