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Blind source separation based on self-organizing neural network

Meyer-Bäse, Anke ; Gruber, Peter ; Foo, Simon ; Theis, Fabian J.



Abstract

This contribution describes a neural network that self-organizes to recover the underlying original sources from typical sensor signals. No particular information is required about the statistical properties of the sources and the coefficients of the linear transformation, except the fact that the source signals are statistically independent and nonstationary. This is often true for real life ...

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