Blind Source Separation Algorithm Based on Maximum Signal Noise Ratio

摘要：

A low computational complexity instantaneous linear mixture signals blind separation algorithm was proposed,which is based on the character that Signal Noise Ratio(SNR)is maximal when statistically independent source signals are completely separated,and it is used as a separation contrast.Source signals are replaced by moving average of estimate signals.The function of covariance matrixes of the source signals and noises was expressed by the generalized eigenvalue(GE)problem,and unmixing matrix was achieved by solving the generalized eigenvalue problem without any iterative.Compared to the typical information-theoretical approaches,the merit of this algorithm is effectively and low complexity in computation.

作者: Jiancang Ma Xiaobing Zhang

会议类型: 国际会议

会议名称: 第一届智能网络与智能系统国际会议(ICINIS 2008)(The First International Conference on Intelligent Networks and Intelligent Systems)

会议地点: 武汉

会议语种:英文

在线出版日期: 2008-11-01（万方平台首次上网日期，不代表论文的发表时间）