Signal Detection and Estimation for Communications (EE616)

Introduction to signal detection and estimation principles with applications in wireless communication systems. Topics include optimum signal detection rules for simple and composite hypothesis tests, Chernoff bound and asymptotic relative efficiency, sequential detection and nonparametric detection; optimum estimation including Bayesian estimation and maximum likelihood, Fisher information and Cramer-Rao bound, linear estimation, least squares and weight least squares.