Note: This is the 20132014 edition of the eCalendar. For the most recent publication, click here.

ECSE 510 Filtering and Prediction for Stochastic Systems (3 credits)

Offered by: Electrical & Computer Engr (Faculty of Engineering)


Electrical Engineering : Basic notions. Linear state space (SS) systems. Least squares estimation and prediction: conditional expectations; Orthogonal Projection Theorem. Kalman filtering; innovations; Riccati equation. ARMA and SS systems. Stationary processes; Wold decomposition; spectral factorization; Weiner filtering. The Weiner process; linear stochastic differential equations; continuous time filtering. Chapman-Kolmogorov, Fokker-Plank equations. Applications.

Terms: Winter 2014

Instructors: Peter Edwin Caines (Winter)

  • (3-0-6)
  • Prerequisites: ECSE 500 and ECSE 509 or equivalent.