
doi: 10.1007/11679363_111
handle: 1885/34069
The FastICA algorithm can be considered as a selfmap on a manifold. It turns out that FastICA is a scalar shifted version of an algorithm recently proposed. We put these algorithms into a dynamical system framework. The local convergence properties are investigated subject to an ideal ICA model. The analysis is very similar to the wellknown case in numerical linear algebra when studying power iterations versus Rayleigh quotient iteration.
Keywords: Algorithms, Iterative methods, Numerical linear algebra, Blind source separation, Power iterations, Independent component analysis, Linear algebra, Scalar shifted version
Keywords: Algorithms, Iterative methods, Numerical linear algebra, Blind source separation, Power iterations, Independent component analysis, Linear algebra, Scalar shifted version
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