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A new concept for separability problems in blind source separation

Theis, Fabian J.



Abstract

The goal of blind source separation (BSS) lies in recovering the original independent sources of a mixed random vector without knowing the mixing structure. A key ingredient to successfully perform BSS is to know the indeterminacies of the problem that is to know how the separating model relates to the original mixing model (separability). For linear BSS Comon showed using the Darmois-Skitovitch ...

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