title: [Advances in independent component analysis and its application].
abstract: The independent component analysis (ICA) is a new technique in statistical signal processing, which decomposes mixed signals into statistical independent components. The reported applications in biomedical and radar signal have demonstrated its good prospect in various blind signal separation. In this paper, the progress of ICA in such as its principle, algorithm and application and advance direction of ICA in future is reviewed. The aim is to promote the research in theory and application in the future.
authors.affiliation: School of Applied Mathematics, University of Electronic Science and Technology of China, Chengdu 610054.
authors.forename: Huafu
authors.initials: H
authors.lastname: Chen
authors.forename: Dezhong
authors.initials: D
authors.lastname: Yao
mesh_terms: D000465:Algorithms; D001921:Brain / Q000502:physiology; D006801:Humans; D016013:Likelihood Functions; D008279:Magnetic Resonance Imaging; D017711:Nonlinear Dynamics; D012815:Signal Processing, Computer-Assisted