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Robust vector quantization based on spectral mapping with a noise estimate

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2 Author(s)
Chen, X. ; Dept. of Eng. Sci., Simon Fraser Univ., Burnaby, BC, Canada ; Cuperman, V.

The problem of optimal quantization of a signal affected by additive noise in the general framework of vector quantization is studied. A noise estimator is used to adapt the vector quantization codebook to the specific noisy environment. Two adaptation strategies are discussed: switched adaptation (multicodebook) and an adaptation approach in which the codebook is computed from the optimal clean signals codebook and the noise estimate. Experimental results show a significant improvement over the direct vector quantization of the noisy signal.<>

Published in:

Communications, Computers and Signal Processing, 1989. Conference Proceeding., IEEE Pacific Rim Conference on

Date of Conference:

1-2 June 1989