| Paper: | SPTM-P4.10 | ||
| Session: | Adaptive Filters I | ||
| Time: | Wednesday, May 19, 13:00 - 15:00 | ||
| Presentation: | Poster | ||
| Topic: | Signal Processing Theory and Methods: System Modeling, Representation, & Identification | ||
| Title: | A QUADRATIC MISO CONTRAST FUNCTION FOR BLIND EQUALIZATION | ||
| Authors: | Marc Castella; Université Marne la Vallée | ||
| Eric Moreau; SIS-TD, ISITV | |||
| Jean-Christophe Pesquet; Université Marne la Vallée | |||
| Abstract: | This 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: a new, so-called ``reference'' contrast is proposed, which is based on cross-statistics between the estimated output and a reference signal. The proposed contrast is valid both for i.i.d. and non i.i.d. sources. It presents the advantage over other contrasts to be a quadratic function, which makes its optimization much easier to realize. Finally, simulations demonstrate the validity of this contrast and show that it leads to improved separation performances. | ||
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