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Constrained-storage quantization of multiple vector sources by codebook sharing

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2 Author(s)
W. -Y. Chan ; Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA ; A. Gersho

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

Published in:

IEEE Transactions on Communications  (Volume:39 ,  Issue: 1 )