Iterative decoding of product codes with a priori information over a Gaussian channel for still image transmission

Author

Elbaz, Abdessamad ; Ryndiah, R. ; Solaiman, Basel ; Sab, Omar Ait

Author_Institution

Dept. Signal et Commun., ENST de Bretagne, Brest, France

Volume

5

fYear

1999

fDate

1999

Firstpage

2602

Abstract

In this paper we propose an optimized transmission system for still images. This system comprises a VQ source encoder with a compression rate of 9. The source data is encoded using a BCH product code and mapped on a 16-QAM constellation. The codebook and channel encoder have been optimized to minimize distortion in presence of transmission errors. We use a new joint source-channel turbo decoding algorithm of the product code. As compared to classical channel decoding algorithms (soft decoding), we obtain an improvement of 0.7 dB in terms of coding gain for a BER of 10^-5. The PSNR of the received image exhibits an improvement of 11 dB as compared to conventional turbo decoding at low SNRs.

Keywords

BCH codes; Gaussian channels; block codes; combined source-channel coding; error statistics; image coding; iterative decoding; quadrature amplitude modulation; turbo codes; vector quantisation; visual communication; 16-QAM constellation; BCH product code; BER; Gaussian channel; PSNR; VQ source encoder; a priori information; block turbo codes; channel coding; channel encoder; codebook; coding gain; compression rate; distortion minimization; iterative decoding; joint source-channel turbo decoding algorithm; optimized transmission system; product codes; soft decoding; source coding; still image transmission; transmission errors; Books; Channel coding; Gaussian channels; Image coding; Iterative decoding; Modulation coding; Product codes; Prototypes; Source coding; Vector quantization;

fLanguage

English

Publisher

ieee

Conference_Titel

Global Telecommunications Conference, 1999. GLOBECOM '99

Print_ISBN

0-7803-5796-5

Type

conf

DOI

10.1109/GLOCOM.1999.831771

Filename

831771