ICA is a computational method for separating a multivariate (multi-channel)
signal into independent additive subcomponents. ICA separation of mixed signals
give very good results, providing two assumptions are met:
- the (unknown) source signals are independent of each other
- the values in each source signal have non-gaussian distributions
Version implemented in this GUI is based on FastICA by Aapo Hyvärinen.