id: 01919953
dt: j
an: 01919953
au: Hyvaerinen, Aapo; Oja, Erkki
ti: A fast fixed-point algorithm for independent component analysis.
so: Neural Comput. 9, No. 7, 1483-1492 (1997).
py: 1997
pu: MIT Press, Cambridge, MA
la: EN
cc: I.2.6 G.1 G.3
ut: neural network learning; ICA(independent component analysis); blind source
    separation; feature extraction; probability distribution; minimization;
    maximization
ci: 
li: doi:10.1162/neco.1997.9.7.1483
ab: Summary: We introduce a novel fast algorithm for independent component
    analysis (ICA), which can be used for blind source separation and
    feature extraction. We show how a neural network learning rule can be
    transformed into a fixed-point iteration, which provides an algorithm
    that is very simple, does not depend on any user-defined parameters,
    and is fast to converge to the most accurate solution allowed by the
    data. (Provider: Leibiger)
rv: