ECE 5650 - Statistical Signal Processing and Learning

Spring (not offered every year). 4 credits. Letter grades only.

Prerequisite: ECE 3100 or ECE 3250.

Q. Zhao.

This course introduces fundamental theories and practical ideas in statistical signal processing and learning. Specific topics include Bayesian inference, Wiener and Kalman filters, predictions, graphical models, point estimation theory, maximum likelihood methods, moment methods, Cram´er-Rao bound, least squares and recursive least squares, supervised and unsupervised learning techniques.