DocumentCode
3045330
Title
Maximizing the entropy of a sum of independent random variables
Author
Ordentlich, Erik
Author_Institution
Hewlett-Packard Labs., Palo Alto, CA, USA
fYear
1997
fDate
29 Jun-4 Jul 1997
Firstpage
277
Abstract
We show that the differential entropy of a sum of independent symmetric random variables supported on [-1,1] is maximal when one is uniformly distributed and the remaining are Bernoulli ±1
Keywords
entropy; information theory; multi-access systems; optimisation; random processes; differential entropy; entropy maximization; independent symmetric random variables sum; multiple access system; Additive noise; Entropy; Fasteners; Mathematics; Probability distribution; Random variables; Signal to noise ratio; Throughput; Time sharing computer systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory. 1997. Proceedings., 1997 IEEE International Symposium on
Conference_Location
Ulm
Print_ISBN
0-7803-3956-8
Type
conf
DOI
10.1109/ISIT.1997.613195
Filename
613195
Link To Document