Random Matrix Theory for Signal Processing by Romain Couillet

Description

Speaker: Romain Couillet (Centrale-Supélec-EDF, Paris) The generalization of multi-user multi-antenna communication systems as well as large radar arrays has lead researchers and engineers in telecommunications and array processing to cope with large dimensional stochastic problems. The random parameters in these systems are no longer simple variables but potentially large vectors and matrices. The first purpose of this tutorial is to provide a rigorous introduction to the major tools of both finite and asymptotic aspects of Random Matrix Theory, and their application to the field of Wireless Communications and Signal Processing. Specific examples of capacity estimation in complex communication networks, as well as improved signal detection and estimation (statistical inference) tests will be used as practical applications of the first part of the tutorial.

Period	15 Dec 2011 → 17 Dec 2011
Event type	Guest talk
Location	AustriaShow on map