By Topic

Entropy computations for discrete distributions: towards analytic information theory

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Jacquet, P. ; Dept. of Comput. Sci., Purdue Univ., West Lafayette, IN, USA ; Szpankowski, W.

We investigate the basic question of information theory, namely, evaluation of Shannon entropy, and a more general Renyi entropy, for some discrete distributions (e.g., binomial, negative binomial, etc.). We aim at establishing analytic methods (i.e., those in which complex analysis plays a pivotal role) for such computations which often yield estimates of unparalleled precision. The main analytic tool used is that of analytic poissonization and depoissonization. We illustrate our approach on the entropy evaluation of the binomial distribution

Published in:

Information Theory, 1998. Proceedings. 1998 IEEE International Symposium on

Date of Conference:

16-21 Aug 1998