Trellis quantization with MAP detection for noisy channels

Author

Soleymani, Mohammad R. ; Nassar, Carl R.

Author_Institution

SPAR Aerospace Ltd., Ste-Anne-de-Bellevue, Que., Canada

Volume

40

Issue

10

fYear

1992

fDate

10/1/1992 12:00:00 AM

Firstpage

1562

Lastpage

1565

Abstract

Maximum a posteriori (MAP) detection is applied to trellis quantizers operating over additive white Gaussian noise (AWGN) channels. The use of the MAP method instead of maximum likelihood is motivated by the fact that the source coder output probabilities, conditioned on the previous outputs (i.e. the state), are not equal. Simulation results indicate that by using MAP detection instead of maximum likelihood, gains as high as 0.57 dB and 2.2 dB can be achieved in terms of signal-to-quantization noise ratio (SQNR) for Gauss-Markov source and speech samples, respectively

Keywords

encoding; telecommunication channels; trellis codes; vector quantisation; white noise; 0.57 dB; 2.2 dB; AWGN channels; Gauss-Markov source; MAP detection; additive white Gaussian noise; maximum a posteriori detection; noisy channels; signal-to-quantization noise ratio; source coder output probabilities; speech samples; trellis quantisation; AWGN channels; Additive white noise; Delay; Gaussian noise; Maximum likelihood decoding; Maximum likelihood detection; Quantization; Signal to noise ratio; Source coding; Speech enhancement;

fLanguage

English

Journal_Title

Communications, IEEE Transactions on

Publisher

ieee

ISSN

0090-6778

Type

jour

DOI

10.1109/26.168783

Filename

168783