Title :
Channel optimized predictive VQ
Author_Institution :
Inf. Theory, Chalmers Univ. of Technol., Goteborg, Sweden
Abstract :
Combined source-channel coding is considered for the case of predictive vector quantization. A design algorithm for channel optimized predictive vector quantizers is proposed. Under reasonable assumptions, the optimal encoder is presented and a sample iterative design method that simultaneously optimizes the predictor and the codebook is derived. We also demonstrate that this design method can be used to obtain index assignments that are advantageous to what is obtained by post process index assignment algorithms. Results are presented for a correlated Gauss-Markov process and for speech LSF parameters
Keywords :
Gaussian processes; Markov processes; combined source-channel coding; correlation methods; iterative methods; optimisation; prediction theory; speech coding; vector quantisation; channel optimized predictive VQ; channel optimized predictive vector quantizers; codebook; combined source-channel coding; correlated Gauss-Markov process; design algorithm; index assignments; iterative design method; listening experiment; optimal encoder; post process index assignment algorithms; speech LSF parameters; vector quantization; Algorithm design and analysis; Design methodology; Design optimization; Distortion measurement; History; Information theory; Iterative algorithms; Iterative methods; Time measurement; Vector quantization;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-7803-5041-3
DOI :
10.1109/ICASSP.1999.759758
