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
Link To Document :
بازگشت