DocumentCode
1332454
Title
Partial distortion sensitive competitive learning algorithm for optimal codebook design
Author
Zhu, C. ; Po, L.M.
Author_Institution
Dept. of Electron. Eng., City Univ. of Hong Kong, Kowloon, Hong Kong
Volume
32
Issue
19
fYear
1996
fDate
9/12/1996 12:00:00 AM
Firstpage
1757
Lastpage
1758
Abstract
An effective competitive learning algorithm based on the partial distortion theorem is proposed for optimal codebook design. Compared with some representative learning algorithms for codebook design, the proposed algorithm has consistently shown the best performance for designing codebooks of different sizes, especially large size codebooks
Keywords
unsupervised learning; vector quantisation; competitive learning algorithm; optimal codebook design; partial distortion theorem;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:19961196
Filename
533564
Link To Document