A survey paper on independent component analysis
Proceedings of the Thirty-Fourth Southeastern Symposium on System Theory (Cat. No.02EX540) - Trang 239-242
Tóm tắt
Independent component analysis (ICA) is a statistical and computational technique for revealing hidden or underlying factors in data. The independent components or sources can be found using ICA provided that all components are independent and non-Gaussian.
Từ khóa
#Independent component analysis #Principal component analysis #Data analysis #Source separation #Blind source separation #Decorrelation #Signal processing #Application software #Random variables #Stochastic processesTài liệu tham khảo
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