Signal Estimation Theory

3 credits

Estimation theory applied in particular to communications, signal processing, and wireless location applications. Cramer-Rao lower bound, minimum variance unbiased estimators, maximum likelihood estimators, least squares, Bayesian estimation, Kalman filters, and subspace methods.