DocumentCode
2050279
Title
On the entropy of a Hidden Markov process
Author
Jacquet, Philippe ; Seroussi, Gadiel ; Szpankowski, Wojciech
Author_Institution
INRIA, France
fYear
2004
fDate
27 June-2 July 2004
Firstpage
10
Abstract
In this paper, the entropy rate of a hidden Markov process (HMP) is computed. The HMP entropy is expressed in terms of a measure Q, which solves an integral equation dependent on the parameters of the process. The measure is hard to extract from the equation in any explicit way. The study focuses on the regime where the channel parameter (noise) ε is small.
Keywords
entropy; hidden Markov models; integral equations; HMP; channel parameter; entropy rate; hidden Markov process; integral equation; Entropy; Hidden Markov models; Integral equations; Laboratories; Markov processes; Q measurement; Random variables; Zinc;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory, 2004. ISIT 2004. Proceedings. International Symposium on
Print_ISBN
0-7803-8280-3
Type
conf
DOI
10.1109/ISIT.2004.1365046
Filename
1365046
Link To Document