A Novel Wavelet Based ICA Technique Using Kurtosis

摘要：

We consider the problem of blind audio source separation. A method to solve this problem is blind source separation (BSS) using independent component analysis (ICA). ICA exploits the non-Gaussianity of source in the mixtures. In this paper we propose a new wavelet based ICA method using Kurtosis for blind audio source separation. In this method, the observations are transformed into an adequate representation using wavelet packets decomposition and Kurtosis criterion. We consider instantaneous mixture of four sources. The results of performance measures show a considerable improvem ent when compared to FastICA and similar method.

关键词： component BSS BASS ICA Wavelet Kurtosis

作者: M.R. Mirarab H. Dehghani Ali Pourrnohammad

作者单位: Electrical Engineering Department Tarbiat Modarres University Tehran, Iran Electrical Engineering Department Amirkabir University of Technology Hafez Ave., Tehran 15914, Iran

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)

会议地点: 大连

会议语种:英文

页码: 36-39

在线出版日期: 2010-07-05（万方平台首次上网日期，不代表论文的发表时间）