DocumentCode
1350229
Title
Channel optimized predictive vector quantization
Author
Linden, Jan
Author_Institution
Dept. of Signal & Syst., Chalmers Univ. of Technol., Goteborg, Sweden
Volume
8
Issue
4
fYear
2000
fDate
7/1/2000 12:00:00 AM
Firstpage
370
Lastpage
384
Abstract
The paper investigates how channel optimization techniques can be applied to predictive vector quantizers. In particular, an efficient encoder search procedure and two design methods are derived. The design methods proposed here, one sample iterative and one block iterative, simultaneously optimize the predictor and the codebook. Extensive simulations show the advantage of this quantization method compared to other memory based quantization schemes as well as memoryless VQ. We also demonstrate that the design methods can be used to obtain index assignments that are advantageous to that obtained by post process index assignment algorithms
Keywords
Markov processes; iterative methods; linear predictive coding; memoryless systems; optimisation; prediction theory; signal sampling; speech coding; telecommunication channels; vector quantisation; LPC parameters; block iterative design method; channel optimized predictive VQ; channel optimized predictive vector quantization; correlated Gauss-Markov source; distortion measures; encoder search procedure; memory based quantization; memoryless VQ; post process index assignment algorithms; sample iterative design method; short-term spectral information; simulations; speech coding; squared Euclidean distortion measure; training procedures; Acoustic noise; Degradation; Design methodology; Design optimization; Iterative methods; Protection; Redundancy; Robustness; Speech; Vector quantization;
fLanguage
English
Journal_Title
Speech and Audio Processing, IEEE Transactions on
Publisher
ieee
ISSN
1063-6676
Type
jour
DOI
10.1109/89.848219
Filename
848219
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