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ESE 4250

Random Processes and Kalman Filtering

3 units

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

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