This course covers signal processing methods used to model discrete-time signals, design optimum digital filters, and estimate the power spectrum of random processes. Students apply various signal models, derive parametric and nonparametric power spectrum estimation, the Levinson recursion, lattice filters, and design of Kalman filters.