Title :
Constrained-storage quantization of multiple vector sources by codebook sharing
Author :
Chan, Wai-Yip ; Gersho, Allen
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA
fDate :
1/1/1991 12:00:00 AM
Abstract :
A codebook sharing technique, called constrained storage vector quantization (CSVQ), is introduced. This technique offers a convenient and optimal way of trading off performance against storage. The technique can be used in conjunction with tree-structured vector quantization (VQ) and other structured VQ techniques that alleviate the search complexity obstacle. The effectiveness of CSVQ is illustrated for coding transform coefficients of audio signals with multistage VQ
Keywords :
audio signals; data compression; encoding; CSVQ; audio signals; codebook sharing; coding; constrained storage vector quantization; multiple vector sources; transform coefficients; tree-structured vector quantization; Books; Degradation; Distortion measurement; Encoding; Loss measurement; Rate-distortion; Signal design; Signal resolution; Statistics; Vector quantization;
Journal_Title :
Communications, IEEE Transactions on
