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
fDate :
9/12/1996 12:00:00 AM
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;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19961196
