• DocumentCode
    2620768
  • Title

    Decoding algebraic-geometric codes using Grobner bases

  • Author

    Saints, Keith ; Rubio, Ivelisse ; Heegard, Chris

  • Author_Institution
    Center for Appl. Math., Cornell Univ., Ithaca, NY, USA
  • fYear
    1994
  • fDate
    27 Jun-1 Jul 1994
  • Firstpage
    156
  • Abstract
    Developments in coding theory have seen two ideas for generalizing Reed-Solomon codes to obtain better codes: multidimensional cyclic (MDC) coder, and algebraic-geometric (AG) codes. In MDC codes, polynomials in several variables take the place of univariate polynomials. In AG codes, the concept of a polynomial in one variable is generalized to a rational function on an algebraic curve. Grobner bases have proved to be a useful tool both in the theory of multivariate polynomials, and in computations involving them. Therefore it is natural that they play an central role in decoding algorithms for MDC and AG codes. We present two decoding algorithms based on Grobner bases which generalize well-known algorithms for decoding Reed-Solomon codes
  • Keywords
    Reed-Solomon codes; algebraic geometric codes; decoding; polynomials; Grobner bases; Reed-Solomon codes; algebraic curve; algebraic-geometric codes; coding theory; decoding algorithms; multidimensional cyclic coder; multivariate polynomials; rational function; univariate polynomials; Contracts; Equations; Iterative algorithms; Iterative decoding; Mathematics; Polynomials; Reed-Solomon codes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 1994. Proceedings., 1994 IEEE International Symposium on
  • Conference_Location
    Trondheim
  • Print_ISBN
    0-7803-2015-8
  • Type

    conf

  • DOI
    10.1109/ISIT.1994.394816
  • Filename
    394816