DocumentCode :
1653770
Title :
Improved codebook definition for vector quantizers
Author :
Dermatas, E. ; Kokkinakis, G.
Author_Institution :
Lab. of Wire Commun., Patras Univ., Greece
fYear :
1991
Firstpage :
447
Abstract :
An approach to the definition of the, full-search vector quantization codebook is presented. The proposed algorithm is based on successive nonlinear transformations of the training vectors, and a method of repeated clustering using a k-means type algorithm. The successive transformations of the training vectors eliminate the probability of convergence to a sub-optimum codebook of the k-means. The performance of the algorithm has been measured and compared for speech signals in distortion, memory requirements, and response time to that of the well-known LBG algorithm
Keywords :
data compression; encoding; speech analysis and processing; LBG algorithm; distortion; full-search vector quantization codebook; k-means type algorithm; memory requirements; performance measurement; repeated clustering; response time; speech analysis; successive nonlinear transformations; training vectors; vector quantizers; Clustering algorithms; Convergence; Delay; Distortion measurement; Laboratories; Nonlinear distortion; Testing; Time measurement; Vector quantization; Wire;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrotechnical Conference, 1991. Proceedings., 6th Mediterranean
Conference_Location :
LJubljana
Print_ISBN :
0-87942-655-1
Type :
conf
DOI :
10.1109/MELCON.1991.161873
Filename :
161873
Link To Document :
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