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Separability of analytic postnonlinear blind source separation with bounded sources

Theis, Fabian J. ; Gruber, Peter Verleysen, Michel , eds.



Abstract

The aim of blind source separation (BSS) is to transform a mixed random vector such that the original sources are recovered. If the sources are assumed to be statistically independent, independent component analysis (ICA) can be applied to perform BSS. An important aspect of successfully analysing data with BSS is to know the indeterminacies of the problem, that is how the separating model is ...

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