MMSE decoding for vector quantization over channels with memory

Author

Hsu, Heng-Iang ; Chang, Wen-Whei ; Liu, Xiaobei ; Koh, Soo Ngee

Author_Institution

Dept. of Commun. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan

fYear

2002

Firstpage

74

Lastpage

76

Abstract

The paper presents memory-enhanced extensions of minimum mean-squared error (MMSE) decoding for vector quantization over noisy channels. We also develop a recursive algorithm for computing the transition probabilities of the Gilbert channel, and illustrate its performance in vector quantization of Gauss-Markov sources under noisy channel conditions. Simulation results indicate that the proposed algorithm enables the implementation of an MMSE decoder with increased robustness to channel errors.

Keywords

Gaussian processes; Markov processes; combined source-channel coding; decoding; least mean squares methods; parameter estimation; telecommunication channels; vector quantisation; Gauss-Markov sources; Gilbert channel; MMSE decoding; channel errors; joint source-channel coding; minimum mean-squared error decoding; noisy channel conditions; parameter estimation; recursive algorithm; vector quantization; Computational modeling; Decoding; Error analysis; Error correction; Gaussian channels; Probability; Protection; Redundancy; Robustness; Vector quantization;

fLanguage

English

Publisher

ieee

Conference_Titel

Speech Coding, 2002, IEEE Workshop Proceedings.

Print_ISBN

0-7803-7549-1

Type

conf

DOI

10.1109/SCW.2002.1215728

Filename

1215728