Presentation 2004/3/9
On the Channel Capacity of Universal Channel Coding
Ryo NOMURA, Toshiyasu MATSUSHIMA, Shigeichi HIRASAWA,
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Abstract(in English) In this paper, we investigate the channel capacity in the case that we do not know the probabilistic model of the channel. First we show the channel capcity in the universal case. To show our main theorem we introduce the decoding scheme that minimizes the probability of error with respect to Bayes criteria.
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Keyword(in English) universal channel capacity / Bayes decision theory / posterior probability
Paper # IT2003-74,ISEC2003-114,WBS2003-192
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Committee ISEC
Conference Date 2004/3/9(1days)
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Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) On the Channel Capacity of Universal Channel Coding
Sub Title (in English)
Keyword(1) universal channel capacity
Keyword(2) Bayes decision theory
Keyword(3) posterior probability
1st Author's Name Ryo NOMURA
1st Author's Affiliation School of Science and Engineering, Waseda University()
2nd Author's Name Toshiyasu MATSUSHIMA
2nd Author's Affiliation School of Science and Engineering, Waseda University
3rd Author's Name Shigeichi HIRASAWA
3rd Author's Affiliation School of Science and Engineering, Waseda University
Date 2004/3/9
Paper # IT2003-74,ISEC2003-114,WBS2003-192
Volume (vol) vol.103
Number (no) 713
Page pp.pp.-
#Pages 5
Date of Issue