A new cumulant-based criterion for iterative Blind Source Separation

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.