Random Matrix Theory for Signal Processing by Romain Couillet
Sprache des Titels:
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.