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
fDate :
6/1/1991 12:00:00 AM
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;
Journal_Title :
Communications, IEEE Transactions on
