In his “Survey on Independent Component Analysis,” Hyvärinen defines “ICA of a random vector [as] finding a linear transform s = Wx so that the components si ...
Independent component analysis (ICA) is a statistical and computational technique for revealing hidden factors that underlie sets of random variables, ...
Independent Component Analysis (ICA) is a technique that allows the separation of a mixture of signals into their different sources, by assuming non Gaussian signal distribution (Yao et al., 2012). The ICA extracts the sources by exploring the independence underlying the measured data.