STATISTICAL SIGNAL PROCESSING FOR WIRELESS COMMUNICATION

Catalog description

Statistical signal processing and applications for wireless communications covering the characterics of random signals, optimum linear filters, statistical parameter estimation using maximum likeihood (ML) and minimum mean-square error (MMSE) methods, adaptive signal processing using least-mean-square (LMS) and recursive least-square (RLS) approaches, Kalman filtering, and eigenanalysis algorithms. Applications of the statistical signal processing techniques in wireless communications will be explored.