DocumentCode
2057243
Title
Convergence of differential entropies
Author
Godavarti, Mahesh ; Hero, Alfred O.
Author_Institution
Altra Broadband Inc., Irvine, CA, USA
fYear
2002
fDate
2002
Firstpage
262
Abstract
Calculation of the differential entropy of the limiting density of a sequence of probability density functions is important in the field of entropy estimation. In such cases it would be of interest to know if the limit of the differential entropies corresponding to the sequence of probability density function is equal to the differential entropy of the limiting probability density function. In this paper, we establish sufficient conditions under which the above is true.
Keywords
convergence; entropy; information theory; probability; convergence; differential entropy; entropy estimation; limiting density function; probability density functions; sufficient conditions; Communication systems; Convergence; Density functional theory; Entropy; Independent component analysis; Performance analysis; Probability density function; Random variables; Rician channels; Sufficient conditions;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory, 2002. Proceedings. 2002 IEEE International Symposium on
Print_ISBN
0-7803-7501-7
Type
conf
DOI
10.1109/ISIT.2002.1023534
Filename
1023534
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