A New FastICA Algorithm with Symmetric Orthogonalization

摘要：

The separation of independent components from an array of mixtures is an interesting but difficult problem in signal processing. This paper re-examine the fastICA algorithm proposed by Hyvarinen and Oja for independent component analysis. The ways needed in fastICA algorithm for decorrelation the separating matrix can be deflationary or symmetric orthogonalization. Using the one-unit fastICA algorithm, this paper proposes a method to choose a suitable initial separating matrix of the fastICA algorithm with symmetric orthonormalization. The formed new algorithm can get faster speed without losing the intrinsic advantage of the original symmetric fastICA algorithm. Simulation results confirm the validity of the new algorithm.

作者: Changyuan Fan Baoqiang Wang Hui Ju

作者单位: Department of Control Engineering Chengdu University Of Information Technology Chengdu, Sichuan Prov This work is supported by CUIT foundation grant CSRF200503 Department of Control Engineering Chengdu

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: 2058-2061

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）