Title :
New List Decoding Algorithms for Reed-Solomon and BCH Codes
Author_Institution :
Link-A-Media Devices Corp., Santa Clara, CA
Abstract :
In this paper we formulate the list decoding of (generalized) Reed-Solomon codes as a rational curve-fitting problem, utilizing the polynomials constructed by the Berlekamp-Massey algorithm. We present a novel list decoding algorithm that ldr corrects up to 1-radic1-D errors for (generalized) Reed-Solomon codes, identical to that of the Guruswami-Sudan algorithm which is built upon the Berlekamp-Welch algorithm, where D denote the normalized minimum distance, ldr with appropriate modifications, corrects up to 1/2(1-radic1-2D) errors for binary BCH codes, which is the best known bound under polynomial complexity, ldr exhibits polynomial complexity in nature, in particular, requires O(n6(1-radic1-D)7) field operations for Reed-Solomon codes in achieving its maximum list error correction capability (n denotes code length), whereas the Guruswami-Sudan algorithm has complexity O(n10(1-D)4).
Keywords :
BCH codes; Reed-Solomon codes; binary codes; computational complexity; curve fitting; decoding; error correction codes; BCH code; Berlekamp-Massey algorithm; Berlekamp-Welch algorithm; Guruswami-Sudan algorithm; Reed-Solomon code; binary BCH code; error correcting code; list decoding; polynomial complexity; rational curve-fitting problem; Computational complexity; Curve fitting; Decoding; Error correction codes; Frequency; Galois fields; Hamming distance; Interpolation; Polynomials; Reed-Solomon codes;
Conference_Titel :
Information Theory, 2007. ISIT 2007. IEEE International Symposium on
Conference_Location :
Nice
Print_ISBN :
978-1-4244-1397-3
DOI :
10.1109/ISIT.2007.4557643