Predictive VQ for noisy channel spectrum coding: AR or MA?

Author

Skoglund, Jan ; Lindén, Jan

Author_Institution

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

Volume

2

fYear

1997

fDate

21-24 Apr 1997

Firstpage

1351

Abstract

In this paper, the performance of different predictive vector quantization (PVQ) structures is studied and compared for different degrees of channel noise. Predictive quantization schemes with an auto-regressive (AR) decoder structure are compared with schemes that employ a moving average (MA) decoder. For noisy channels MA prediction performs better than AR. It is shown here that a combination of a PVQ scheme (AR or MA) and a memoryless VQ outperforms both types of traditional predictive quantizer schemes in noiseless as well as noisy channels

Keywords

autoregressive processes; channel coding; decoding; moving average processes; noise; prediction theory; speech coding; telecommunication channels; vector quantisation; AR; MA; auto-regressive decoder structure; channel noise; memoryless VQ; moving average decoder; noisy channel spectrum coding; performance; predictive VQ; speech coding; Decoding; Information theory; Robustness; Speech coding; Vector quantization;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on

Conference_Location

Munich

ISSN

1520-6149

Print_ISBN

0-8186-7919-0

Type

conf

DOI

10.1109/ICASSP.1997.596197

Filename

596197