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Found 1 from your keywords: author=HUBER, Marco
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Nonlinear Gaussian Filtering : Theory, Algorithms, and Applications
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HUBER, Marco

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 filtering for strong nonlinearities, (3) Gaussian process filtering for purely data-driven scenari…

Edition
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ISBN/ISSN
978-3-7315-0338-5
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510 HUB n