A quadratic MISO contrast function for blind equalization
Marc Castella, Éric Moreau, Jean‐Christophe Pesquet · 2004
The paper is concerned with blind separation of convolutive mixtures of mutually independent signals. We consider the MISO extraction of one source signal based on the maximization of a contrast function (CF); a new, so-called "reference" CF is proposed, which is based on cross-statistics between the estimated output and a reference signal. The proposed CF is valid both for i.i.d. and non i.i.d. sources. It presents the advantage over other CFs to be a quadratic function, which makes its optimization much easier to realize. Finally, simulations demonstrate the validity of this CF and show that it leads to improved separation performances.