DocumentCode :
2755465
Title :
Partition decoding for reed-solomon codes based on bit reliability
Author :
Chang, Ming-Hua ; Hu, Ta-Hsiang ; Su, Ing-Jiunn ; Li, Zhong-Yu
Author_Institution :
Chin-Min Inst. of Technol., Miao-Li
fYear :
2007
fDate :
Oct. 30 2007-Nov. 2 2007
Firstpage :
1
Lastpage :
4
Abstract :
This study presents a partition decoding algorithm for an (mN, mK) binary image of an (N, K) Reed Solomon code over GF(2\´"). A permutation is performed on a binary generator matrix of an RS code and a received vector, both of which are then partitioned into two submatrices and two subvectors. The first subvector of length N(m-1) associate with the first submatrix and the second subvector with the least subvector reliability value relates to the second submatrix. An MLD based on the first submatrix or a subfield subcode BCH generator matrix is employed to decode these two submatrices one after another. A codeword is finally outputted after performing the inverse permutation on a concatenation of code vectors decoded from these two decoding. Simulation results show that under a constraint of decoding complexity, a solution to decode binary images of long RS codes could be proposed partition decoding, which provides superior performance to GMD decoding with much lower complexity than the MLD.
Keywords :
BCH codes; Reed-Solomon codes; computational complexity; decoding; image coding; matrix algebra; Reed-Solomon codes; binary generator matrix; binary image; bit reliability; codeword; decoding complexity; partition decoding; subfield subcode BCH generator matrix; submatrices; subvectors; Block codes; Channel coding; Euclidean distance; Hardware; Image coding; Maximum likelihood decoding; Partitioning algorithms; Performance analysis; Reed-Solomon codes; Statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
TENCON 2007 - 2007 IEEE Region 10 Conference
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-1272-3
Electronic_ISBN :
978-1-4244-1272-3
Type :
conf
DOI :
10.1109/TENCON.2007.4429077
Filename :
4429077
Link To Document :
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