DocumentCode
459388
Title
Taylor series expansions for the entropy rate of Hidden Markov Processes
Author
Zuk, Or ; Domany, Eytan ; Kanter, Ido ; Aizenman, Michael
Author_Institution
Dept. of Physics of Complex Systems, Weizmann Inst. of Science, Rehovot, 76100, Israel. Email: or.zuk@weizmann.ac.il
Volume
4
fYear
2006
fDate
38869
Firstpage
1598
Lastpage
1604
Abstract
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. We use the proof to establish series expansions for the entropy rate in two different regimes. We also study the radius of convergence of the two series expansions.
Keywords
Convergence; Entropy; Hidden Markov models; Markov processes; Physics; Signal to noise ratio; Stochastic processes; Symmetric matrices; Taylor series; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, 2006. ICC '06. IEEE International Conference on
Conference_Location
Istanbul
ISSN
8164-9547
Print_ISBN
1-4244-0355-3
Electronic_ISBN
8164-9547
Type
conf
DOI
10.1109/ICC.2006.255039
Filename
4024380
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