A Robust Blind Source Separation Algorithm without Whitening the Observed Signals

摘要：

A novel robust blind source separation algorithm that uses the geodesic method is proposed. Different from many methods that only can treat the whitened observed data, the proposed algorithm can separate the unwhitened observed data, i.e., the original observed data. More importantly, the algorithm is robust to the outliers due to the adoption of novel density models, which are different to the ones that used by many other algorithms. Simulations on artificial generated data and realworld ECG data reveal that the proposed algorithm has fast convergence, high separation performance and robustness to the outliers, compared with some famous algorithms.

作者: Hangjun Wang Luming Fang

作者单位: School of Information Science and Technology, Zhejiang Forestry University, Linan 311300, China

会议类型: 国际会议

会议名称: 2006 International Conference on Communications,Circuits and Systems(第四届国际通信、电路与系统学术会议)

会议地点: 广西桂林

会议语种:英文

页码: 2051-2054

在线出版日期: 2006-06-25（万方平台首次上网日期，不代表论文的发表时间）