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Blind sensor characteristics estimation in a multi-sensor network applied to fMRI analysis

Theis, Fabian J.



Abstract

We propose an algorithm, based on blind source separation methods, for blindly estimating the sensor characteristics of a multi-sensor network, whose structure is also unknown. From the observed sensor outputs, the non-linearities are recovered using a well-known Gaussianization procedure. The underlying sources are then reconstructed using spatial decorrelation. Application of this robust ...

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