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Research achievement detail

Title Bayes Coding for Sources with Piecewise Constant Parameters (in Japanese)
Authors Tota Suko 、Toshiyasu Matsushima 、Shigeichi Hirasawa
Released Year 2003
Format Conference
Category Source coding
Jounal Name Proceedings of the 26th Symposium on Information Theory and Its Applications
Jounal Page vol.1, pp.165-168
Published Year 2003
Published Month 12
Abstract
(English)
Bayes code is one of the wellknowm universal codes.Bayes code has Bayes optimality in point of minimization of mean redundancy.Sources with piecewise constant parameters are one of nonstationary sources.These sources have abruptly changing parameters.Conventionally, nonpredictive Bayes coding for these sources is shown.In this paper, we propose a predictive Bayes coding algorithm.The computational complexity of the algorithm increases quadratically.Then, we increase the efficiency of the algorithm.
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(English)
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