EE 252 Estimation, Filtering and Detection

Description

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