EE 510 - Optimal Filtering Theory

Credits: 3

Review of stochastic processes; stochastic integrals and differential equations; Wiener filtering; discrete Kalman filter; applications and additional topics on discrete Kalman filtering; continuous Kalman filter; discrete smoothing and prediction; additional topics on Kalman filtering.

Pre-Requisites: EE 410, EE 460