TY  - GEN
ID  - cogprints7056
UR  - http://cogprints.org/7056/
A1  - Sprekeler, Dr. Henning
A1  - Zito, Tiziano
A1  - Wiskott, Dr. Laurenz
TI  - An Extension of Slow Feature Analysis for Nonlinear Blind Source Separation
Y1  - 2010/10//
N2  - We present and test an extension of slow feature analysis as a novel approach to nonlinear blind source separation. The algorithm relies on temporal correlations and iteratively reconstructs a set of statistically independent sources from arbitrary nonlinear instantaneous mixtures. Simulations show that it is able to invert a complicated nonlinear mixture of two audio signals with a reliability of more than $90$\%. The algorithm is based on a  mathematical analysis of slow feature analysis for the case of input data that are generated from statistically independent sources.
AV  - public
KW  - slow feature analysis
KW  -  nonlinear blind source separation
KW  -  independent component analysis
ER  -

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