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

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
ページ数	1
ジャーナル	IEEE International Symposium on Information Theory - Proceedings
出版ステータス	Published - 2001 9 12
イベント	2001 IEEE International Symposium on Information Theory (ISIT 2001) - Washington, DC, United States 継続期間: 2001 6 24 → 2001 6 29

ASJC Scopus subject areas

Theoretical Computer Science
Information Systems
Modelling and Simulation
Applied Mathematics

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引用スタイル

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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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