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利用HMM信源残留冗余的LDPC译码算法

LDPC decoding algorithm using residual redundancy of HMM source
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摘要 提出一种基于二阶HMM(隐马尔可夫)信源和LDPC的联合信源信道译码算法。在迭代过程中,利用信源序列中的冗余信息校正LDPC译码的迭代软信息,提高LDPC码的纠错性能,加快迭代收敛速度。AWGN信道的仿真结果证实了该联合信源信道解码算法性能优越。 Proposes a joint source-channel decoding based on HMM (hidden Markov) source and LDPC codes.The method uses the residual information in the HMM source to modify the soft information in the LDPC iterative decoding algorithm.The result shows it enhances the abilities of correcting errors and speeds up the convergence.In the end,it gives the simulation results on the AWGN channel.
出处 《计算机工程与应用》 CSCD 北大核心 2007年第30期128-129,201,共3页 Computer Engineering and Applications
关键词 信源信道联合译码 隐马尔可夫模型 LDPC码 置信传播算法 AWGN信道 joint source-channel decoding hidden Markov model LDPC code belief propagation algorithm AWGN channel
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