Bayes coding algorithm for FSM sources

Toshiyasu Matsushima, Shigeichi Hirasawa

Research output: Contribution to conferencePaper

5 Citations (Scopus)

Abstract

The optimal universal code for FSMX sources (Rissanen, 1981) with respect to Bayes redundancy criterion (Davison, 1973) is deduced under the condition that the model, the probabilistic parameters, and the initial state are unknown. The algorithm is not only Bayes optimal for FSMX sources but also asymptotically optimal for a stationary ergodic sources. Further, the algorithm is regarded as a generalization of the Ziv-Lempel algorithm. In the basic CTW algorithm, the algorithm needs an initial context, where a finite constant is the depth of the context tree, for calculating the coding probability. For the problems of the initial situation and the infinite depth tree, the extensions to the CTW algorithm have been proposed in a paper by Willems (1994). In this paper, an optimal algorithm is proposed that gives solution against these problems from new point of view. This proposed method is also regarded as a generalization of the Ziv-Lempel algorithm.

Original languageEnglish
Number of pages1
Publication statusPublished - 1995 Jan 1
EventProceedings of the 1995 IEEE International Symposium on Information Theory - Whistler, BC, Can
Duration: 1995 Sep 171995 Sep 22

Other

OtherProceedings of the 1995 IEEE International Symposium on Information Theory
CityWhistler, BC, Can
Period95/9/1795/9/22

ASJC Scopus subject areas

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

Fingerprint Dive into the research topics of 'Bayes coding algorithm for FSM sources'. Together they form a unique fingerprint.

  • Cite this

    Matsushima, T., & Hirasawa, S. (1995). Bayes coding algorithm for FSM sources. Paper presented at Proceedings of the 1995 IEEE International Symposium on Information Theory, Whistler, BC, Can, .