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Paper data
A new cumulant-based criterion for iterative blind source separation

Martin-Clemente Ruben, University of Sevilla (Spain)
Acha Jose, University of Sevilla (Spain)

Page numbers in the proceedings:
Volume I pp 573-576

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.

A PDF version is available here