Computer Science – Information Theory
Scientific paper
2005-10-03
Proceedings 2006 IEEE International Conference on Communications (ICC 2006).
Computer Science
Information Theory
Scientific paper
Finding the entropy rate of Hidden Markov Processes is an active research topic, of both theoretical and practical importance. A recently used approach is studying the asymptotic behavior of the entropy rate in various regimes. In this paper we generalize and prove a previous conjecture relating the entropy rate to entropies of finite systems. Building on our new theorems, we establish series expansions for the entropy rate in two different regimes. We also study the radius of convergence of the two series expansions.
Aizenman Michael
Domany Eytan
Kanter Ido
Zuk Or
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