DocumentCode
1456404
Title
Concavity of the Mutual Information Rate for Input-Restricted Memoryless Channels at High SNR
Author
Han, Guangyue ; Marcus, Brian H.
Author_Institution
Dept. of Math., Univ. of Hong Kong, Hong Kong, China
Volume
58
Issue
3
fYear
2012
fDate
3/1/2012 12:00:00 AM
Firstpage
1534
Lastpage
1548
Abstract
We consider a memoryless channel with an input Markov process supported on a mixing finite-type constraint. We continue the development of asymptotics for the entropy rate of the output hidden Markov chain and deduce that, at high signal-to-noise ratio, the mutual information rate of such a channel is concave with respect to “almost” all input Markov chains of a given order.
Keywords
entropy; hidden Markov models; signal processing; telecommunication channels; SNR; entropy; finite-type constraint; input-restricted memoryless channels; mutual information rate; signal-to-noise ratio; Entropy; Hidden Markov models; Joints; Markov processes; Mutual information; Signal to noise ratio; Vectors; Concavity; entropy rate; hidden Markov chain; mutual information rate;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.2011.2173730
Filename
6157074
Link To Document