Abstract
System identification is a key and important problem in many signal processing applications including array processing and communications.
Blind identification techniques, where the desired system parameters are estimated relying only on the observed data, have attracted a lot of attention in the signal processing and communication communities for over three decades. A plethora of solutions exist in the literature for all type of systems, i.e., SISO, SIMO or MIMO systems.
Biography
Karim ABED-MERAIM received the State Engineering Degree from Ecole Polytechnique, Paris, France, in 1990, the State Engineering Degree from Ecole Nationale Supérieure des Télécommunications (ENST), Paris, France, in 1992, the M.Sc. degree from Paris XI University, Orsay, FRANCE, in 1992 and the Ph.D degree from the Ecole Nationale Supérieure des Télécommunications (ENST), Paris, FRANCE, in 1995 (in the field of Signal Processing and communications). From 1995 to 1998, he has been a research staff at the Electrical Engineering Department of the University of Melbourne where he worked on several research project related to "Blind System Identification for Wireless Communications", "Blind Source Separation", and "Array Processing for Communications", respectively.
From 1998 to 2012, he was an Associate Professor at the Signal and Image Processing Department of ENST. Currently, he is a Full Professor at Polytech'Orleans (the University of Orleans), France, and Adjunct Professor at Telecom ParisTech. His research interests are in signal processing, statistical estimation and communications including system identification, blind source separation, multiuser detection and equalization, detection and estimation, adaptive filtering and tracking, array processing and asymptotic performance analysis. Within his research activity, he has organized and chaired several conferences and workshops and published over 330 scientific papers.