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