A Survey of Blind Source Separation
Mao Jianqin · Information and Electronic Engineering · 2003
Blind source separation (BSS) is a recently developed methodology used to separate unknown source signals from their mixtures. It has been applied to many fields widely and effectively. The theory and two types of implementation methods-independent component analysis (ICA) and nonlinear principal component analysis (nonlinear PCA) are introduced. Then the methods of blind source separation in the condition of linear mixing and nonlinear mixing are discussed. Finally the future of blind source separation research is prospected.