An alternate algorithm for calculating generalized posterior probability and decoding

Toshiyasu Matsushima, Tomoko K. Matsushima, Shigeichi Hirasawa

Research output: Contribution to journalConference article

1 Citation (Scopus)

Abstract

An alternate algorithm model was employed to calculate the generalized posterior probability and decoding. The probability model class for which the proposed algorithm calculated exact marginal posterior probability, was found to be wider than the sum-products algorithms. The results showed that the bit and the block error rate of the proposed algorithm was superior with respect to the sum-products algorithm.

Original languageEnglish
Number of pages1
JournalIEEE International Symposium on Information Theory - Proceedings
Publication statusPublished - 2002 Sep 12
Event2002 IEEE International Symposium on Information Theory - Lausanne, Switzerland
Duration: 2002 Jun 302002 Jul 5

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ASJC Scopus subject areas

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

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