DocumentCode
1389030
Title
Vector-adaptive vector quantization with application to speech coding
Author
Kou, Weidong ; Mark, Jon W.
Author_Institution
Dept. of Electr. & Comput. Eng., Waterloo Univ., Ont., Canada
Volume
39
Issue
6
fYear
1991
fDate
6/1/1991 12:00:00 AM
Firstpage
958
Lastpage
962
Abstract
A vector-adaptive vector quantization (VAVQ) scheme, which may be viewed as a generalization of gain-adaptive vector quantization, is described. The proposed scheme adjusts each component of the encoding signal vector according to a statistical estimate of the signal characteristics. The VAVQ scheme can cope with large input dynamic ranges. It can be used in either the time domain or the transform domain, and exhibits approximately 4 dB improvement in segmental signal-to-noise ratio (SNR) over the fixed VQ
Keywords
data compression; encoding; speech analysis and processing; SNR; encoding signal vector; gain-adaptive vector quantization; input dynamic ranges; segmental signal-to-noise ratio; signal characteristics; speech coding; statistical estimate; time domain; transform domain; vector-adaptive vector quantization; Algorithm design and analysis; Block codes; Decoding; Dynamic range; Encoding; Probability density function; Shape; Speech coding; Speech processing; Vector quantization;
fLanguage
English
Journal_Title
Communications, IEEE Transactions on
Publisher
ieee
ISSN
0090-6778
Type
jour
DOI
10.1109/26.87185
Filename
87185
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