A LDPC-based joint source channel decoding using HMM for image transmission system

被引：0

作者：

Gao, Jie ^{[1
]}

Liu, Rongke ^{[1
]}

Sun, Xinmei ^{[1
]}

Zhang, Xiaolin ^{[1
]}

机构：

[1] Beijing Univ Aeronaut & Astronaut, Dept Elect Engn, Beijing 100083, Peoples R China

来源：

2006 INTERNATIONAL CONFERENCE ON COMMUNICATIONS, CIRCUITS AND SYSTEMS PROCEEDINGS, VOLS 1-4: VOL 1: SIGNAL PROCESSING | 2006年

关键词：

D O I：

10.1109/ICCCAS.2006.284591

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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 3.0dB - 8.0 dB (PSNR) at 0.6dB in E-b/N-0 when it is employed in still image transmission systems.

引用

页码：83 / +

页数：2

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