A LDPC-Based Joint Source Channel Decoding Using HMM for Image Transmission System
A modified joint source channel decoding (JSCD) algorithm based on Low-density parity-check (LDPC) codingand hidden Markov estimation is proposed to employ the selfchecking 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 Eb/N0 when it is employed in still image transmission systems.
Jie Gao Rongke Liu Xinmei Sun Xiaolin Zhang
Dept. of Electronic Engineering Beijing University of Aeronautics & Astronautics Beijing, 100083 China
国际会议
2006 International Conference on Communications,Circuits and Systems(第四届国际通信、电路与系统学术会议)
广西桂林
英文
83-87
2006-06-25（万方平台首次上网日期，不代表论文的发表时间）