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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 -