TITLE:Independent Component Analysis Using the
Spectral Measure for Alpha-Stable Distributions
AUTHOR: Preben Kidmose
Department of Mathematical Modelling, Building 321
Technical University of Denmark, DK-2800 Lyngby, Denmark
A method for identifying the independent components of an
alpha-stable random vector is proposed. The method is based on an
estimate of the spectral measure for the characteristic function.
Simulations with both synthetic and speech signals demonstrate that
the proposed method can identify independent components in the
so-called over-complete case of more sources than mixtures.
Appears in Proc. of NSIP2001, Baltimore, Maryland, June 4-6, 2001.