Summary: INDEPENDENT COMPONENT ANALYSIS BY COMPLEX NONLINEARITIES
T¨ulay Adali1
, Taehwan Kim,2
and Vince Calhoun3,4
1
Dept. of CSEE, University of Maryland Baltimore County, Baltimore, MD, 21250
2
The MITRE Corporation, McLean, VA, 22102
3
Olin Neuropsychiatry Research Center, Institute of Living, Hartford, CT 06106
4
Dept. of Psychiatry, Yale University, New Haven, CT 06520
ABSTRACT
A number of complex nonlinear functions are proposed for the
independent component analysis (ICA) of complex-valued data.
We discuss the properties of these nonlinearities and show their
efficiency in generating the higher order statistics needed for ICA.
1. INTRODUCTION
Independent component analysis (ICA) for separating complex-
valued sources is needed for convolutive source-separation in the

Source: Adali, Tulay - Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County

Collections: Engineering