Theory and applications of adaptive fi ltering in systems and signal processing. Iterative methods of optimization and their convergence properties: transversal fi lters; LMS (gradient) algorithms. Adaptive Kalman fi ltering and least-squares algorithms. Specialized structures for implementation: e.g., least-squares lattice fi lters, systolic arrays. Applications to detection, noise cancelling, speech processing, and beam forming.