Title :
ICA by Maximization of Nongaussianity using Complex Functions
Author :
Novey, Michael ; Adali, Tülay
Author_Institution :
Maryland Univ., Baltimore, MD
Abstract :
We use complex, hence analytic, functions to achieve independent component analysis (ICA) by maximization of nonGaussianity and introduce the complex maximization of nonGaussianity (CMN) algorithm. We show that CMN converges to the principal component of the source distribution and that the algorithm provides robust performance for both circular and non-circular sources
Keywords :
independent component analysis; optimisation; principal component analysis; source separation; ICA; complex functions; independent component analysis; nonGaussianity maximization; principal component analysis; source distribution; source separation; Algorithm design and analysis; Covariance matrix; Independent component analysis; Magnetic resonance imaging; Radar applications; Radar imaging; Random variables; Robustness; Vectors; Wireless communication;
Conference_Titel :
Machine Learning for Signal Processing, 2005 IEEE Workshop on
Conference_Location :
Mystic, CT
Print_ISBN :
0-7803-9517-4
DOI :
10.1109/MLSP.2005.1532868
