DocumentCode :
3006921
Title :
An efficient algorithm for implementing the relative entropy method
Author :
Alaska, Y.A. ; Tzannes, Nicolas S. ; Marinelli, William A.
Author_Institution :
Dept. of Electr. Eng. & Commun. Sci., Univ. of Central Florida, Orlando, FL, USA
fYear :
1988
fDate :
11-14 Apr 1988
Firstpage :
2384
Abstract :
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
Keywords :
entropy; iterative methods; probability; speech analysis and processing; PMF estimation; actual speech data; iterative algorithm; probability mass function; relative entropy method; Entropy; Equations; Iterative algorithms; Lagrangian functions; Multidimensional systems; Probability density function; Speech; Time factors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on
Conference_Location :
New York, NY
ISSN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.1988.197120
Filename :
197120
Link To Document :
بازگشت