Presentation | 2003/7/16 Complexity of a Maximum Likelihood Decoding Algorithm Based on Grobner Bases for Binary Linear Block Codes Daisuke IKEGAMI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we have studied a maximum likelihood decoding for binary linear block codes based on Grobner bases which is proposed by the author. The decoding algorithm can be applied both the soft-decision and the hard-decision, however, the complexity of the algorithm had not been known. Since the complexity can be estimated by the number of the Grobner bases, we investigate the size of bases in the decoding algorithm and give an upper bound. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | maximum likelihood decoding / block code / soft decision / hard decision / Grobner basis |
Paper # | IT2003-29 |
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Committee | IT |
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Conference Date | 2003/7/16(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Information Theory (IT) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Complexity of a Maximum Likelihood Decoding Algorithm Based on Grobner Bases for Binary Linear Block Codes |
Sub Title (in English) | |
Keyword(1) | maximum likelihood decoding |
Keyword(2) | block code |
Keyword(3) | soft decision |
Keyword(4) | hard decision |
Keyword(5) | Grobner basis |
1st Author's Name | Daisuke IKEGAMI |
1st Author's Affiliation | Japan Science and Technology corporation CREST program National Institute of Advanced Industrial Science and Technology Laboratory for Verification and Semantics() |
Date | 2003/7/16 |
Paper # | IT2003-29 |
Volume (vol) | vol.103 |
Number (no) | 215 |
Page | pp.pp.- |
#Pages | 5 |
Date of Issue |