Course Details

Course details of EE5111
Course NoEE5111
Course TitleEstimation Theory
Course ContentClassical parameter estimation: Cramer-Rao bound, Minimum mean squared error estimation, Minimum variance unbiased estimation, Best Linear Unbiased Estimation, Maximum Likelihood estimation, Method of Moments. Bayesian parameter estimation: Minimum mean squared error (MMSE) estimation, Maximum a posteriori estimation, Linear MMSE estimation, Sequential linear MMSE estimation, Kalman Filter.
Course Offered this semesterNo
Faculty Name