Presentation 2000/3/17
Soft-Decision Recursive Decoding for Binary Linear Block Codes
Tadao Kasami, Yuichi Kaji,
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Abstract(in English) We consider recursive decoding for binary linear block codes. We review the characteristics of recursive maximum likelihood decoding(RMLD)in[2]briefly. Then a theoretical framework is presented in term of coset operations for"lazy evaluation"where necessary operations are made only when they are required. This approach provides reduction of memory requirement as well as computational complexity. In the original RMLD algorithm, the computation is performed in a bottom-up way, in the sense that most likely vectors are computed for all cosets which are obtained by dividing the code. In the"lazy"version, the computation is performed in a top-down way, that is, locally most likely vectors are computed when it is required first time. The decoding complexity of the lazy version is much less than that of the original RMLD.
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Keyword(in English) recursive decoding algorithms / the maximum likelihood decoding / cosets / Reed-Muller codes / extended BCH codes
Paper # IT99-86,ISEC99-125,SST99-134
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Committee IT
Conference Date 2000/3/17(1days)
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Registration To Information Theory (IT)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Soft-Decision Recursive Decoding for Binary Linear Block Codes
Sub Title (in English)
Keyword(1) recursive decoding algorithms
Keyword(2) the maximum likelihood decoding
Keyword(3) cosets
Keyword(4) Reed-Muller codes
Keyword(5) extended BCH codes
1st Author's Name Tadao Kasami
1st Author's Affiliation Faculty of Information Science, Hiroshima City University()
2nd Author's Name Yuichi Kaji
2nd Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology
Date 2000/3/17
Paper # IT99-86,ISEC99-125,SST99-134
Volume (vol) vol.99
Number (no) 700
Page pp.pp.-
#Pages 7
Date of Issue