A LDPC-Based Joint Source Channel Decoding Using HMM for Image Transmission System

Author

Gao, Jie ; Liu, Rongke ; Sun, Xinmei ; Zhang, Xiaolin

Author_Institution

Dept. of Electron. Eng., Beijing Univ. of Aeronaut. & Astronaut.

Volume

1

fYear

2006

fDate

38869

Firstpage

83

Lastpage

87

Abstract

A modified joint source channel decoding (JSCD) algorithm based on low-density parity-check (LDPC) coding and hidden Markov estimation is proposed to employ the self-checking mechanism of LDPC codes in adjusting the error probability p of the hidden Markov model (HMM) and the JSCD scheme utilizes the source residual redundancy while no priori information of the source parameters is available. We also extend and apply the algorithm over image transmission system. Simulation results show that the modified JSCD algorithm leads to the joint decoder converge at least 10% faster than the unmodified method without any degradation in the decoding performance. The method also obtains substantial improved performance in image quality of 3.0 dB-8.0 dB (PSNR) at 0.6 dB in E_b/N₀ when it is employed in still image transmission systems

Keywords

combined source-channel coding; decoding; error statistics; hidden Markov models; image coding; parity check codes; HMM; JSCD algorithm; LDPC codes; error probability; hidden Markov model; image transmission system; joint source channel decoding; low-density parity-check codes; self-checking mechanism; source residual redundancy; Decoding; Degradation; Error probability; Hidden Markov models; Image communication; Image converters; Image quality; PSNR; Parity check codes; Redundancy;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, Circuits and Systems Proceedings, 2006 International Conference on

Conference_Location

Guilin

Print_ISBN

0-7803-9584-0

Electronic_ISBN

0-7803-9585-9

Type

conf

DOI

10.1109/ICCCAS.2006.284591

Filename

4063835