DPCM image transmission over noisy channel using sequence minimum mean squared error decoder

Author

Chebil, Jalel ; Boashash, Boualem

Author_Institution

Signal Process. Res. Lab., Queensland Univ. of Technol., Brisbane, Qld., Australia

fYear

2004

fDate

19-23 April 2004

Firstpage

293

Lastpage

294

Abstract

Nowadays, joint source channel coding has become an important research topic. In this paper, source decoder is designed which minimizes the mean squared error in the reconstruction of a linear autoregressive DPCM coded signal over a noisy channel. The proposed sequence MMSE is based on the sequence-based approximate MMSE with first order Markovian approximation algorithm. The method with the best performance is compared with the sequence MAP technique. It is found that the method outperforms sequence MAP technique.

Keywords

Markov processes; autoregressive processes; combined source-channel coding; differential pulse code modulation; image reconstruction; least mean squares methods; modulation coding; sequences; visual communication; DPCM image transmission; MMSE; Markovian approximation algorithm; joint source channel coding; linear autoregressive DPCM coded signal; noisy channel; sequence minimum mean squared error decoder; signal reconstruction; source decoder; Australia; Channel coding; Decoding; Image coding; Image communication; Optimization methods; Redundancy; Signal processing; Testing; Vector quantization;

fLanguage

English

Publisher

ieee

Conference_Titel

Information and Communication Technologies: From Theory to Applications, 2004. Proceedings. 2004 International Conference on

Print_ISBN

0-7803-8482-2

Type

conf

DOI

10.1109/ICTTA.2004.1307742

Filename

1307742