Adaptive Signal Processing

The course covers fundamental theories and key techniques for applications in adaptive signal processing. More details are signal modeling, 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. (Prerequisite: EE432, EE528)

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