FastICA is made robust to unknown source distributions by learning the required nonlinear function from the empirical characteristic function of the mixtures.
Estimation of independent component analysis systems
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FastICA with Learned Scores from the Empirical Characteristic Function
FastICA is made robust to unknown source distributions by learning the required nonlinear function from the empirical characteristic function of the mixtures.