Kalman Filtering — Probability and random variables and processes; correlation; shaping filters; simulation of sensor errors; Wiener filter; random vectors; covariance propagation; recursive least-squares; Kalman filter; extensions.
Prereqs: [AE3515 on OSCAR]
Taught by nobody this semester.