EE 7620 - Detection, Estimation, and Optimal Filter Theory

Credit Hour(s): 3

Course 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

Prerequisite(s): Graduate level EE 7610 Minimum Grade of C

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

Course Level: Graduate
Schedule Type(s): Lecture

Grade Mode: Standard
An additional fee is associated with this course.