Title :
A tight upper bound on discrete entropy
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Inst., Singapore
fDate :
29 Jun-4 Jul 1997
Abstract :
Based on a result from the theory of Jacobi theta functions, we derive a new discrete entropy bound, which is tight for any asymptotically normal discrete random variable satisfying the required conditions
Keywords :
binomial distribution; entropy; information theory; Jacobi theta function; asymptotically normal discrete random variable; binomial random variables; discrete entropy; tight upper bound; Adders; Communication standards; Entropy; Jacobian matrices; Random variables; Read only memory; Upper bound; Welding;
Conference_Titel :
Information Theory. 1997. Proceedings., 1997 IEEE International Symposium on
Conference_Location :
Ulm
Print_ISBN :
0-7803-3956-8
DOI :
10.1109/ISIT.1997.613164
