• DocumentCode
    2642842
  • Title

    Maximum likelihood decoding of Reed Solomon codes

  • Author

    Sudan, Madhu

  • Author_Institution
    IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA
  • fYear
    1996
  • fDate
    14-16 Oct 1996
  • Firstpage
    164
  • Lastpage
    172
  • Abstract
    We present a randomized algorithm which takes as input n distinct points {(xi,yi)}i=1n from F×F (where F is a field) and integer parameters t and d and returns a list of all univariate polynomials f over F in the variable a of degree at most d which agree with the given set of points in at least t places (i.e., yi=f(xi) for at least t values of i), provided t=Ω(√(nd)). The running time is bounded by a polynomial in n. This immediately provides a maximum likelihood decoding algorithm for Reed Solomon Codes, which works in a setting with a larger number of errors than any previously known algorithm. To the best of our knowledge, this is the first efficient (i.e., polynomial time bounded) algorithm which provides some maximum likelihood decoding for any efficient (i.e., constant or even polynomial rate) code
  • Keywords
    Reed-Solomon codes; computational complexity; maximum likelihood decoding; randomised algorithms; Reed Solomon codes; maximum likelihood decoding; polynomial time bounded; randomized algorithm; running time; Argon; Complexity theory; Error correction codes; Galois fields; Hamming distance; Maximum likelihood decoding; Polynomials; Reed-Solomon codes; Terminology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Foundations of Computer Science, 1996. Proceedings., 37th Annual Symposium on
  • Conference_Location
    Burlington, VT
  • ISSN
    0272-5428
  • Print_ISBN
    0-8186-7594-2
  • Type

    conf

  • DOI
    10.1109/SFCS.1996.548475
  • Filename
    548475