Paper data
Title:
New contrasts for blind separation of non iid sources in the convolutive case Author(s): Castella Marc, IGM and URA-CNRS 820 Pesquet Jean-Christophe, IGM and URA-CNRS 820 Petropulu Athina P., ECE Department, Drexel University Page numbers in the proceedings: Volume II pp 107-110 Session: Blind Identification and Deconvolution
Paper abstract
This paper deals with the separation of convolutive mixtures of independent source signals. Starting from a frequency point of view, we consider a joint diagonalization criterion. Integration of the latter over the frequency domain leads to contrasts which are valid for both iid and non iid sources. A generalization of these contrasts is proposed: it aims at obtaining contrasts with improved statistical performances. A link with existing time-domain contrasts is established. A simple gradient based method for the optimization of the contrasts is proposed and evaluated through simulation tests.
Paper
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