| Paper: | SPTM-L6.1 | ||
| Session: | System Identification | ||
| Time: | Thursday, May 18, 10:00 - 10:20 | ||
| Presentation: | Lecture | ||
| Topic: | Signal Processing Theory and Methods: System Modeling, Representation, and Identification | ||
| Title: | ALTERNATING LEAST SQUARES IDENTIFICATION OF UNDER-DETERMINED MIXTURES BASED ON THE CHARACTERISTIC FUNCTION | ||
| Authors: | Myriam Rajih, Pierre Comon, I3S Laboratory / CNRS / University of Nice-Sophia Antipolis, France | ||
| Abstract: | Algorithm ALESCAF (Alternating LEast Squares identification based on the ChAracteristic Function) uses the derivatives of the second characteristic function (c.f.) of observations, without any need of sparsity assumption on sources, but assuming their statistical independence. ALESCAF was already proposed by the authors in a previous paper, where only one derivative order was considered. In this paper, new versions of ALESCAF are proposed, that jointly use derivatives of different orders. We also propose ALESCAS, a new algorithm that uses the knowledge of source c.f.'s. Computer simulations demonstrate that both algorithms accelerate the convergence. | ||
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