An iterative algorithm for calculating posterior probability and model representation

T. Matsushima, T. K. Matsushima, S. Hirasawa

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 242001 6 29

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Information Systems
  • Modelling and Simulation
  • Applied Mathematics

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