DocumentCode
893242
Title
Estimation of the entropy and information of absolutely continuous random variables
Author
Mokkadem, Abdelkader
Author_Institution
CNRS, Univ. de Paris Sud, Orsay, France
Volume
35
Issue
1
fYear
1989
fDate
1/1/1989 12:00:00 AM
Firstpage
193
Lastpage
196
Abstract
A method is proposed for estimating the entropy and the mutual information of absolutely continuous random vectors, and an upper bound of the mean risks for the proposed estimators under strong mixing conditions is given
Keywords
entropy; information theory; random processes; absolutely continuous random vectors; entropy estimation; estimators; mean risks; mutual information; strong mixing conditions; upper bound; Decoding; Delay; Encoding; Entropy; Kernel; Mutual information; Polynomials; Probability density function; Random variables; Upper bound;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/18.42194
Filename
42194
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