DocumentCode :
873219
Title :
Convergence of differential entropies
Author :
Godavarti, Mahesh ; Hero, Alfred
Author_Institution :
Ditech Commun., Inc., Mountain View, CA, USA
Volume :
50
Issue :
1
fYear :
2004
Firstpage :
171
Lastpage :
176
Abstract :
Calculation of the differential entropy of the limiting density of a sequence of probability density functions (pdf) is an interesting mathematical problem and is important in asymptotic analysis of communication systems. In such cases, it would be of interest to know if the limit of the differential entropies Hn, corresponding to the sequence of pdf fn, is equal to the differential entropy H, of the limiting pdf f. In this correspondence, we establish sufficient conditions under which Hn → H.
Keywords :
convergence; entropy; probability; sequences; asymptotic analysis; communication systems; convergence; differential entropies; differential entropy; limiting density; pdf sequence; probability density functions; Convergence; Covariance matrix; Eigenvalues and eigenfunctions; Entropy; Interference cancellation; Interference suppression; Multiaccess communication; Notice of Violation; Random variables; System performance;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.2003.821979
Filename :
1262625
Link To Document :
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