期刊文献+

基于HMM信源估计和LDPC的联合信源信道译码 被引量:1

Joint Source-channel Decoding Based on HMM and LDPC
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摘要 在信源信道联合编译码中,利用信源冗余控制信道译码是一个关键的技术.利用Baum-Welch重估算法获取隐马尔可夫信源中的残留冗余,将其作为外信息提供给LDPC进行迭代译码.仿真结果验证了这一方法可以提高LDPC码的纠错性能,加快迭代收敛速度. The using of source residual redundancy have been proven to be one critical technology in Joint source-channel coding and decoding. In this paper, Baum-Welch algorithm is used for obtaining the redundancy of Hidden Markov Source, which is transfed to LDPC for iteractive decoding as the external information. The simu- lation result shows that the method can enhances the performance of error-correcting and speeds up the convergence.
出处 《河北大学学报(自然科学版)》 CAS 北大核心 2008年第2期209-213,共5页 Journal of Hebei University(Natural Science Edition)
关键词 信源信道联合译码 隐马尔可夫信源 残留冗余 LDPC码 BP译码 joint source-channel decoding hidden Markov model residual redundancy LDPC code belief propagation algorithm
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参考文献5

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共引文献3

同被引文献9

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