Title :
A chaos model of finite-order Markov sources and arithmetic coding
Author_Institution :
Dept. of Inf. Sci., Shonan Inst. of Technol., Fujisawa, Japan
fDate :
29 Jun-4 Jul 1997
Abstract :
In this paper, we concentrate on the statistically stable transformations over the interval [0,1] for which the Lebesgue measure is the unique invariant measure and in terms of them extend Kac´s (1959) results for the transformations to generate finite-order Markov sources
Keywords :
Markov processes; arithmetic codes; chaos; information theory; number theory; source coding; Lebesgue measure; arithmetic coding; chaos model; finite-order Markov sources; invariant measure; source sequence; statistically stable transformations; Arithmetic; Chaos; Information science; Probability; Quantization; Random number generation; Random processes; Random variables;
Conference_Titel :
Information Theory. 1997. Proceedings., 1997 IEEE International Symposium on
Conference_Location :
Ulm
Print_ISBN :
0-7803-3956-8
DOI :
10.1109/ISIT.1997.613162
