Title :
Entropy expressions for multivariate continuous distributions
Author :
Darbellay, Georges A. ; Vajda, Igor
Author_Institution :
Inst. of Inf. Theory & Autom., Czechoslovak Acad. of Sci., Prague, Czech Republic
fDate :
3/1/2000 12:00:00 AM
Abstract :
Analytical formulas for the entropy and the mutual information of multivariate continuous probability distributions are presented
Keywords :
entropy; information theory; probability; analytical formulas; continuous probability distributions; entropy expressions; multivariate continuous distributions; mutual information; Closed-form solution; Computational complexity; Convolutional codes; Decoding; Entropy; Network address translation; Probability distribution; Tail; Throughput; Timing;
Journal_Title :
Information Theory, IEEE Transactions on
