Paper data
Title:
A new cumulant-based criterion for iterative blind source separation Author(s): Martin-Clemente Ruben, University of Sevilla (Spain) Acha Jose, University of Sevilla (Spain) Page numbers in the proceedings: Volume I pp 573-576 Session: Blind Source Separation / Independent Component Analysis (1/2)
Paper abstract
This contribution introduces a new iterative algorithm for Blind Source Separation based on the cancellation of some second order derivatives of the output cross-cumulants. It is proven that the estimation of the separating matrix can be achieved by solving linear equations repeatedly. A key feature is thus that the algorithm requires a low computational effort. Simulations show the effectiveness of the approach.
Paper
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