• DocumentCode
    1245345
  • Title

    Voronoi regions for binary linear block codes

  • Author

    Agrell, Erik

  • Author_Institution
    Dept. of Inf. Theory, Chalmers Univ. of Technol., Goteborg, Sweden
  • Volume
    42
  • Issue
    1
  • fYear
    1996
  • fDate
    1/1/1996 12:00:00 AM
  • Firstpage
    310
  • Lastpage
    316
  • Abstract
    The Voronoi regions of a block code govern many aspects of the code´s performance on a Gaussian channel, and they are fundamental instruments in, for example, error probability analysis and soft-decision decoding. The article presents an efficient method for finding the boundaries of the Voronoi regions for an arbitrary binary linear block code. Two theoretical results together lead to the Voronoi regions. First, it is shown that the question of the Voronoi neighborship can be reduced into testing a simpler relation, called the Gabriel neighborship. Second, a fast method of recognising Gabriel neighbors is proposed. These results are finally employed to describe the Voronoi regions for the Golay codes and several BCH codes, including Hamming codes
  • Keywords
    BCH codes; Gaussian channels; Golay codes; Hamming codes; binary sequences; block codes; coding errors; decoding; error statistics; linear codes; probability; BCH codes; Gabriel neighbors; Gabriel neighborship; Gaussian channel; Golay codes; Hamming codes; Voronoi neighborship; Voronoi regions; binary linear block codes; boundaries; error probability analysis; performance; soft decision decoding; Block codes; Decoding; Distortion measurement; Error analysis; Error probability; Euclidean distance; Gaussian channels; Instruments; Lattices; Performance analysis;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/18.481810
  • Filename
    481810