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RISNonlinear Kalman Filtering With Expensive Forward Models Via Measure Change
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Filtering is a subset of a more general probabilistic estimation scheme for estimating the unobserved parameters from the observed measurements. For nonlinear, high speed applications, the extended Kalman filter (EKF) and ...