Course

ECE240 - Optimal Estimation and Filtering

Units: 4

Instructor(s): Thrampoulidis

Syllabus:

Optimal estimation concepts and theory (minimum variance, least squares, and maximum likelihood estimation), optimal recursive algorithms for discrete- and continuous-time filtering of noisy signals and data. Wiener and Kalman filters, stability of recursive optimal filtering algorithms, modeling errors in recursive filters.