Channel optimized predictive VQ

Author

Lindén, Jan

Author_Institution

Inf. Theory, Chalmers Univ. of Technol., Goteborg, Sweden

Volume

2

fYear

1999

fDate

15-19 Mar 1999

Firstpage

681

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on

Conference_Location

Phoenix, AZ

ISSN

1520-6149

Print_ISBN

0-7803-5041-3

Type

conf

DOI

10.1109/ICASSP.1999.759758

Filename

759758