DocumentCode
1272979
Title
The centroid of the symmetrical Kullback-Leibler distance
Author
Veldhuis, Raymond
Author_Institution
Twente Univ., Enschede, Netherlands
Volume
9
Issue
3
fYear
2002
fDate
3/1/2002 12:00:00 AM
Firstpage
96
Lastpage
99
Abstract
This paper discusses the computation of the centroid induced by the symmetrical Kullback-Leibler distance. It is shown that it is the unique zeroing argument of a function which only depends on the arithmetic and the normalized geometric mean of the cluster. An efficient algorithm for its computation is presented. Speech spectra are used as an example.
Keywords
entropy; sequences; spectral analysis; speech processing; arithmetic geometric mean; cluster; discrimination; divergence; normalized geometric mean; relative entropy; sequences; speech spectra; symmetrical Kullback-Leibler distance centroid; zeroing argument; Arithmetic; Clustering algorithms; Counting circuits; Entropy; Information theory; Probability distribution; Shape; Speech synthesis; Vector quantization;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/97.995827
Filename
995827
Link To Document