• DocumentCode
    1478220
  • Title

    The Treewidth of MDS and Reed–Muller Codes

  • Author

    Kashyap, Navin ; Thangaraj, Andrew

  • Author_Institution
    Dept. of Electr. Commun. Eng., Indian Inst. of Sci., Bangalore, India
  • Volume
    58
  • Issue
    7
  • fYear
    2012
  • fDate
    7/1/2012 12:00:00 AM
  • Firstpage
    4837
  • Lastpage
    4847
  • Abstract
    The constraint complexity of a graphical realization of a linear code is the maximum dimension of the local constraint codes in the realization. The treewidth of a linear code is the least constraint complexity of any of its cycle-free graphical realizations. This notion provides a useful parameterization of the maximum-likelihood decoding complexity for linear codes. In this paper, we show the surprising fact that for maximum distance separable codes and Reed-Muller codes, treewidth equals trelliswidth, which, for a code, is defined to be the least constraint complexity (or branch complexity) of any of its trellis realizations. From this, we obtain exact expressions for the treewidth of these codes, which constitute the only known explicit expressions for the treewidth of algebraic codes.
  • Keywords
    Reed-Muller codes; algebraic codes; linear codes; maximum likelihood decoding; trellis codes; MDS treewidth; Reed-Muller codes; algebraic codes; constraint complexity; cycle-free graphical realizations; graphical realization; least constraint complexity; linear code; maximum distance separable codes; maximum-likelihood decoding complexity; treewidth equals trelliswidth; trellis realizations; Complexity theory; Decoding; Indexes; Linear code; Minimization; Particle separators; Polynomials; Maximum distance separable (MDS) codes; Reed–Muller codes; treewidth; trelliswidth;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2012.2191935
  • Filename
    6174471