【摘要】 提出一种在HMM基础上同时更新模型参数和译码的信源信道联合译码算法.通过接收到的含噪声信息序列以及由训练序列获得的先验知识对信源模型参数重新估计,将参数更新与联合译码过程迭代进行,一方面得到了信源序列更精确的概率结构,另一方面提高了联合译码的性能,并从信息论角度给出了信源模型参数的改善量.更多还原

【Abstract】 A joint source-channel decoding scheme implemented by simultaneously decoding and updating parameters based on HMM is proposed.First,the source parameter used in the joint source-channel decoding is updated by the a priori knowledge obtained through the training sequence and the received noisy information sequence. The joint source-channel decoding is then employed.These two steps are implemented iteratively.The iterative updating algorithm improves precision of the probability structure of the received sequence and performance of the joint source channel decoding.The degree of parameter improvement of the source model can be obtained from the perspective of the information theory.更多还原