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Electrical Computer Engineering - ECE

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.

Prerequisites: ECE 139 or equivalent.


ECE 240
27 / 27 Full
Optimal Estimation and Filtering
Mahnoosh Alizadeh 4.0
T R
16:00 PM - 17:50 PM
85.6% A