Presentation | 2010-03-04 An analysis of bit error probability of recursive systematic convolutional codes with Max-log-MAP decoding Yoshitake KAWADAI, Hideki YOSHIKAWA, |
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Abstract(in English) | The maximum a posteriori probability(MAP) decoding algorithm minimize the bit error probability, and is widely applied as and iterative soft-output decoder for the class of turbo codes. But the MAP algorithm is much more complex, thus, suboptimum MAP algorithms are considered for practical system. The Max-Log-MAP decoding algorithm is one of near optimum algorithms, and reduces decoding complexity. In this paper, an analytical results of bit error probability for 4-state recursive systematic convolutional code with Max-Log-MAP decoding are presented. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Max-Log-MAP algorithm / convolutional code / bit error probability |
Paper # | IT2009-93,ISEC2009-101,WBS2009-72 |
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Committee | IT |
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Conference Date | 2010/2/25(1days) |
Place (in Japanese) | (See Japanese page) |
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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) | An analysis of bit error probability of recursive systematic convolutional codes with Max-log-MAP decoding |
Sub Title (in English) | |
Keyword(1) | Max-Log-MAP algorithm |
Keyword(2) | convolutional code |
Keyword(3) | bit error probability |
1st Author's Name | Yoshitake KAWADAI |
1st Author's Affiliation | Division of Engineering, Graduate school of Tohoku Gakuin University() |
2nd Author's Name | Hideki YOSHIKAWA |
2nd Author's Affiliation | Faculty of Engineering, Tohoku Gakuin University |
Date | 2010-03-04 |
Paper # | IT2009-93,ISEC2009-101,WBS2009-72 |
Volume (vol) | vol.109 |
Number (no) | 444 |
Page | pp.pp.- |
#Pages | 5 |
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