Kniha Nonlinear Gaussian Filtering : Theory, Algorithms, and Applications Marco Huber

Nonlinear Gaussian Filtering : Theory, Algorithms, and Applications

Autor: Marco Huber
Jazyk: Angličtina
Vazba: Brožovaná
Dostupnost: Skladem u dodavatele
Odesíláme za 8-11 dnů
888
By restricting to Gaussian distributions, the optimal Bayesian filtering problem can be transformed...

Informace o knize

Autor
Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2015
Stránek
304
EAN
9783731503385
Enbook ID
09253950
Hmotnost
555
Rozměry
148 x 210 x 14

Kompletní popis

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 scenarios. For each setting, efficient algorithms are derived and applied to real-world problems.

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