2000IEE Proceedings - CommunicationsRequires access

Step-by-step decoding algorithm for Reed–Solomon codes

T.-C. Chen, C.-H. Wei, Shyue‐Win Wei

Open publisher page 13 citations

Abstract

A new step-by-step decoding algorithm for decoding Reed–Solomon codes over GF(2m) is presented. Based on several properties of the syndrome matrices, the new step-by-step decoding algorithm can directly determine whether every received symbol is an error locator. The detection of error location is based only on the determinant of a v × v syndrome matrix, where v is the number of errors. When an error location is found, its corresponding error value can also be determined by performing a determinant division operation between two syndrome matrices. The new decoding algorithm can significantly reduce computation complexity and improve the decoding speed compared with the conventional step-by-step decoding algorithm.

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What this paper is about

A new step-by-step decoding algorithm for decoding Reed–Solomon codes over GF(2m) is presented. Based on several properties of the syndrome matrices, the new step-by-step decoding algorithm can directly determine whether every received symbol is an error locator. The detection of error location is based only on the determinant of a v × v syndrome matrix, where v is the number of errors. When an error location is found, its corresponding error value can also be determined by performing a determinant division operation between two syndrome matrices. The new decoding algorithm can significantly reduce computation complexity and improve the decoding speed compared with the conventional step-by-step decoding algorithm.

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Available abstract

A new step-by-step decoding algorithm for decoding Reed–Solomon codes over GF(2m) is presented. Based on several properties of the syndrome matrices, the new step-by-step decoding algorithm can directly determine whether every received symbol is an error locator. The detection of error location is based only on the determinant of a v × v syndrome matrix, where v is the number of errors. When an error location is found, its corresponding error value can also be determined by performing a determinant division operation between two syndrome matrices. The new decoding algorithm can significantly reduce computation complexity and improve the decoding speed compared with the conventional step-by-step decoding algorithm.

Key concepts: Decoding methods, Berlekamp–Welch algorithm, List decoding, Algorithm, Sequential decoding, Computation, Computer science, Error detection and correction

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