Single channel blind source separation based on ICA feature extractionOA
Single channel blind source separation based on ICA feature extraction
A new technique is proposed to solve the blind source separation (BSS) given only a single channel observation. The basis functions and the density of the coefficients of source signals learned by ICA are used as the prior kn…查看全部>>
A new technique is proposed to solve the blind source separation (BSS) given only a single channel observation. The basis functions and the density of the coefficients of source signals learned by ICA are used as the prior knowledge. Based on the learned prior information the learning rules of single channel BSS are presented by maximizing the joint log likelihood of the mixed sources to obtain source signals from single observation,in which the posterior de…查看全部>>
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Information Engineering College of Shanghai Maritime University, Shanghai 200135, China;Information Engineering College of Shanghai Maritime University, Shanghai 200135, China
信息技术与安全科学
blind source separation (BSS) independent component analysis (ICA) single channel maximum likelihood
blind source separation (BSS) independent component analysis (ICA) single channel maximum likelihood
《哈尔滨工业大学学报（英文版）》 2007 (4)
518-523,6
Sponsored by the Research Foundation of Shanghai Municipal Education Commission( Grant No.06FZ012 and 06FZ028).
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