Detection, Estimation, and Optimal Filter Theory

Course Type: 
EE
Code: 
7620
Level: 
Graduate
Credit Hours: 
3
Schedule Type: 
Lecture
Description: 

Binary detection with single/multiple observations, linear minimum mean-square error filtering: Wiener and Kalman filters, MLE and MAP estimators, histogram, tests of hypotheses, regression analysis, model-free and model-based parameter estimation of random processes. Department Managed Prerequisite(s): Graduate level EE 7610 Minimum Grade of D

Restrictions: 
Must be enrolled in one of the following Levels: Graduate, Medical, Professional.