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Contents: Introduction.- State-Space Model in Linear Case.- Traditional Nonlinear Filters.- Density Based Nonlinear Filters.- Monte-Carlo Experiments.- Application of Ninlinear Filters.- Prediction and Smoothing.- Summary and Concluding Remarks.
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| $166.64 | Digital |
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Add Nonlinear Filters: Estimation and Applications, Nonlinear and nonnormal filters are introduced and developed. Traditional nonlinear filters such as the extended Kalman filter and the Gaussian sum filter give biased filtering estimates, and therefore several nonlinear and nonnormal filters have been der, Nonlinear Filters: Estimation and Applications to the inventory that you are selling on WonderClubX
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Add Nonlinear Filters: Estimation and Applications, Nonlinear and nonnormal filters are introduced and developed. Traditional nonlinear filters such as the extended Kalman filter and the Gaussian sum filter give biased filtering estimates, and therefore several nonlinear and nonnormal filters have been der, Nonlinear Filters: Estimation and Applications to your collection on WonderClub |