ECE240
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ECE 240 - Optimal Estimation and Filtering
Electrical and Computer Engineering
College of Engineering
Full Course Title
Optimal Estimation and Filtering
Instructor Name(s)
STAFF
Course Description
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.
Unit Value
4
Maximum number of times course can be repeated for additional credit
99
Maximum Units
99
Prerequisites
Repeat Comments
Not open for credit for those who have taken ECE 240A.