The course covers fundamental theories and key techniques for applications in adaptive signal processing. More details are signal modelling, optimal estimation theory, Wiener and Kalman filters, eigen-filters, LMS/RLS algorithms, and their variants. We also deal with advanced topics such as adaptive equalization, adaptive beam-forming and adaptive interference cancellations. (Prerequisites: EE432, EE521)