Title :
Estimation of the entropy and information of absolutely continuous random variables
Author :
Mokkadem, Abdelkader
Author_Institution :
CNRS, Univ. de Paris Sud, Orsay, France
fDate :
1/1/1989 12:00:00 AM
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;
Journal_Title :
Information Theory, IEEE Transactions on
