Title :
A Bayes coding algorithm using context tree
Author :
Matsushima, Toshiyasu ; Hirasawa, Shigeichi
Author_Institution :
Sch. of Sci. & Eng., Waseda Univ., Tokyo, Japan
fDate :
27 Jun-1 Jul 1994
Abstract :
The context tree weighting (CTW) algorithm [Willems et al., 1993] has high compressibility for universal coding with respect to FSMX sources. The present authors propose an algorithm by reinterpreting the CTW algorithm from the viewpoint of Bayes coding. This algorithm can be applied to a wide class of prior distribution for finite alphabet FSMX sources. The algorithm is regarded as both a generalized version of the CTW procedure and a practical algorithm using a context tree of the adaptive Bayes coding which has been studied in Mataushima et al. (1991). Moreover, the proposed algorithm is free from underflow which frequently occurs in the CTW procedure
Keywords :
Bayes methods; adaptive codes; source coding; trees (mathematics); Bayes coding algorithm; CTW algorithm; FSMX sources; adaptive Bayes coding; compressibility; context tree weighting algorithm; finite alphabet FSMX sources; prior distribution; underflow; universal coding; Artificial intelligence;
Conference_Titel :
Information Theory, 1994. Proceedings., 1994 IEEE International Symposium on
Conference_Location :
Trondheim
Print_ISBN :
0-7803-2015-8
DOI :
10.1109/ISIT.1994.394633
