Title :
Channel optimized predictive vector quantization
Author_Institution :
Dept. of Signal & Syst., Chalmers Univ. of Technol., Goteborg, Sweden
fDate :
7/1/2000 12:00:00 AM
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;
Journal_Title :
Speech and Audio Processing, IEEE Transactions on