BLIND SEPARATION OF NON-CIRCULAR SOURCES
Jerome Galy, Claude Adnet, Eric Chaumette, Guillaume Gelle 3, claude.adnet@airsys.thomson-csf.com, guillaume.gelle@univ-reims.fr
galy@lirmm.fr,, claude.adnet@airsys.thomson-csf.com, guillaume.gelle@univ-reims.fr
Blind Source Separation is now a well known problem.
When a priori informations about the propagation or
the geometry of the array are not available, the model
can be generalized to a blind source separation model.
Il supposes the statistical independence of the sources
and their non-gaussianity. In this paper, we focus on
an algorithm, called Canonical Correlation Analysis,
based on the use of second order statistics.