Subject Code: EC6L023	Name: Adaptive Signal Processing	L-T-P: 3-0-0	Credit: 3
Introduction to adaptive filters, optimal estimation, linear estimation: normal equation, orthogonality principle, linear models. Constrained linear estimation: minimum variance unbiased estimation, steepest descent algorithms, stochastic gradient algorithms: LMS algorithm, normalized LMS algorithm, RLS algorithm. Steady-state performance of adaptive filters, transient performance of adaptive filters, block adaptive filters, the least-squares criterion, recursive least-squares, lattice filters Prerequisite: None Texts/Reference Books: Fundamentals of adaptive filtering, A. H. Sayed, Wiley, 2003 Adaptive filter theory, Simon Haykin, Fourth edition, Pearson, 2012 Adaptive Signal Processing, Widrow and Stearns, Pearson, 2007