ECE 645 - Estimation Theory

The course provides an introduction to detection and estimation. Outcomes include the ability to use the Neyman-Pearson approach for signal detection. Outcomes also include the ability to use the Factorization Theorem to find a sufficient statistic and the Cramer-Rao Lower Bound approach and the Rao-Blackwell-Lehmann-Scheffe (RBLS) method to find the minimum variance unbiased estimator (MVUE). Another outcome is the ability to use the least squares approach for statistical signal processing.