Nonlinear Gaussian Filtering : Theory, Algorithms, and Applications

By restricting to Gaussian distributions, the optimal Bayesian filtering problem can be transformed into an algebraically simple form, which allows for computationally efficient algorithms. Three problem settings are discussed in this thesis: (1) filtering with Gaussians only, (2) Gaussian mixture f...

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Autor principal: Huber, Marco
Format: Online
Idioma:anglès
Publicat: KIT Scientific Publishing 2021
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Accés en línia:34619
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