Title :
A generalized ICA algorithm
Author :
Stoll, Benoit ; Moreau, Eric
Author_Institution :
ISITV, MS-GESSY, La Valette du Var, France
fDate :
4/1/2000 12:00:00 AM
Abstract :
In this paper, we consider the source separation problem through a block algorithm based on the maximization of contrast functions. We propose a new contrast with parameterized cross-cumulants. It allows us to put three classical contrasts in a common framework. Following the same spirit of the independent component analysis (ICA) algorithm, we derive the analytical solution for the case of two sources. Finally, a computer simulation is performed to illustrate the behavior of a Jacobi-like algorithm for the maximization of the new contrast.
Keywords :
higher order statistics; signal processing; Jacobi-like algorithm; block algorithm; computer simulation; contrast functions maximization; cumulants; generalized ICA algorithm; independent component analysis; source separation problem; Algorithm design and analysis; Computer simulation; Independent component analysis; Jacobian matrices; Matrix decomposition; Reactive power; Source separation; Statistical analysis; Statistics; Vectors;
Journal_Title :
Signal Processing Letters, IEEE
