EESC6343 - Detection and Estimation Theory

EESC 6343 Detection and Estimation Theory (3 semester credit hours) Parameter estimation. Least-squares, mean-square-error, and minimum-variance estimators. Maximum A Posteriori (MAP) and Maximum-Likelihood (ML) estimators. Bayes estimation. Cramer- Rao lower bound. BLUE estimator and Wiener filtering. Hypothesis testing and data-driven classification algorithms. Prerequisite: EESC 6349. (3-0) R