Based on an analysis of EASI batch process algorithms for traditional blind source separation, a sliding window ICA algorithm is studied to deal with complex signals in the time variant mixing model.
通过对传统盲源分离批处理EASI算法的分析，针对时变信道中通信信号的复数形式，以平滑窗的形式实现了批处理算法在时变混合模型下的应用。
A new blind source separation algorithm based on information maximization is proposed in this paper.
提出了一种基于信息最大准则的盲源分离新算法。
The blind separation of convolution mixture signals is a nodus in blind source separation.
卷积混叠的盲信号分离是盲源分离问题中的难点。
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