Principles of estimation, linear fi ltering and detection. Estimation: linear and nonlinear minimum mean squared error estimation, and other strategies. Linear fi ltering: Wiener and Kalman fi ltering. Detection: simple, composite, binary and multiple hypotheses. Neyman-Pearson and Bayesian approaches.