An iterative algorithm for calculating posterior probability and model representation

T. Matsushima; T. K. Matsushima; S. Hirasawa

An iterative algorithm for calculating posterior probability and model representation

T. Matsushima^*, T. K. Matsushima, S. Hirasawa

^*この研究の対応する著者

基幹理工学部

研究成果: Conference article › 査読

1 被引用数 (Scopus)

抄録

In this paper, we introduce a representation method of probability models that can be applied to any code such as turbo, LDPC or tail-biting code. Moreover, we propose an iterative algorithm that calculates marginal posterior probabilities on the introduced probability model class. The decoding error probability for the LDPC codes of the proposed algorithm is less than that of the sum-product algorithm.

本文言語	English
ページ（範囲）	236
ページ数	1
ジャーナル	IEEE International Symposium on Information Theory - Proceedings
出版ステータス	Published - 2001
イベント	2001 IEEE International Symposium on Information Theory (ISIT 2001) - Washington, DC, United States 継続期間: 2001 6月 24 → 2001 6月 29

ASJC Scopus subject areas

理論的コンピュータサイエンス
情報システム
モデリングとシミュレーション
応用数学

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引用スタイル

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title = "An iterative algorithm for calculating posterior probability and model representation",

abstract = "In this paper, we introduce a representation method of probability models that can be applied to any code such as turbo, LDPC or tail-biting code. Moreover, we propose an iterative algorithm that calculates marginal posterior probabilities on the introduced probability model class. The decoding error probability for the LDPC codes of the proposed algorithm is less than that of the sum-product algorithm.",

author = "T. Matsushima and Matsushima, {T. K.} and S. Hirasawa",

year = "2001",

language = "English",

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journal = "IEEE International Symposium on Information Theory - Proceedings",

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AU - Matsushima, T. K.

AU - Hirasawa, S.

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AB - In this paper, we introduce a representation method of probability models that can be applied to any code such as turbo, LDPC or tail-biting code. Moreover, we propose an iterative algorithm that calculates marginal posterior probabilities on the introduced probability model class. The decoding error probability for the LDPC codes of the proposed algorithm is less than that of the sum-product algorithm.

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M3 - Conference article

AN - SCOPUS:0034863979

SP - 236

JO - IEEE International Symposium on Information Theory - Proceedings

JF - IEEE International Symposium on Information Theory - Proceedings

SN - 2157-8095

T2 - 2001 IEEE International Symposium on Information Theory (ISIT 2001)

Y2 - 24 June 2001 through 29 June 2001

ER -

An iterative algorithm for calculating posterior probability and model representation

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ASJC Scopus subject areas

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