Deflationbased FastICA reloaded
Klaus Nordhausen, Pauliina Ilmonen, Abhijit Mandal, Hannu Oja, Esa Ollila · 2016
Deflation-based FastICA, where independent components (IC’s) are extracted one-by-one, is among the most popular methods for estimating an unmixing matrix in the independent component analysis (ICA) model x = As. The method is usually given for a p-variate random sample X = (x1,...,xn) and a nonlinearity function g = G