• DocumentCode
    1556408
  • Title

    Hexacode-based quantization of the Gaussian source at 1/2 bit per sample

  • Author

    Ragot, Stéphane ; Adoul, Jean-Pierre ; Lefebvre, Roch

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Sherbrooke Univ., Que., Canada
  • Volume
    49
  • Issue
    12
  • fYear
    2001
  • fDate
    12/1/2001 12:00:00 AM
  • Firstpage
    2056
  • Lastpage
    2058
  • Abstract
    We present the performance of several suboptimal algebraic quantizers in 24 dimensions. The Gaussian source is encoded at 1/2 bit per sample using the binary extended Golay code C24 and the hexacode H6. We also propose two new suboptimal decoding algorithms for the hexacode H6
  • Keywords
    Gaussian processes; Golay codes; algebraic codes; binary codes; decoding; linear codes; source coding; Gaussian source; binary extended Golay code; hexacode-based quantization; suboptimal algebraic quantizers; suboptimal decoding algorithms; Application software; Codes; Communications Society; Decoding; Hamming distance; Helium; Lattices; Nearest neighbor searches; Rate-distortion; Vector quantization;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/26.974248
  • Filename
    974248