ESE 4250
Random Processes and Kalman Filtering
Probability and random variables; random processes, autocorrelation, power spectral density; transient and steady-state analysis of linear dynamic systems and random inputs, filters, state-space, discretization; optimal estimation; the discrete Kalman filter; linearization and the extended Kalman filter for nonlinear dynamic systems; related MATLAB exercises.
Prerequisites & course information
Credit 3 units. Eng: BMEII, TOP, TOPEQ, TOPIII Typical periods offered: Spring
Sources
- Course catalogue โ2026โ2027