By Topic

An efficient algorithm for implementing the relative entropy method

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

3 Author(s)
Alaska, Y.A. ; Dept. of Electr. Eng. & Commun. Sci., Univ. of Central Florida, Orlando, FL, USA ; Tzannes, N.S. ; Marinelli, W.A.

The authors present an iterative algorithm for implementing the relative entropy method for PMF (probability mass function) estimation. Numerical examples are included using synthetic PMF's and actual speech data. Benchmark measurements of the algorithm are compared to results for the maximum-entropy method

Published in:

Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on

Date of Conference:

11-14 Apr 1988