Kalman Filtering Under Information Theoretic Criteria

This book provides several efficient Kalman filters (linear or nonlinear) under information theoretic criteria. They achieve excellent performance in complicated non-Gaussian noises with low computation complexity and have great practical application potential. The book combines all these perspectiv...

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Hlavní autoři:	Chen, Badong (Autor), Dang, Lujuan (Autor), Zheng, Nanning (Autor), Principe, Jose C. (Autor)
Korporativní autor:	SpringerLink (Online service)
Médium:	Elektronický zdroj E-kniha
Jazyk:	angličtina
Vydáno:	Cham : Springer International Publishing : Imprint: Springer, 2023.
Vydání:	1st ed. 2023.
Témata:	Signal processing. Mathematical physics. Econometrics. Engineering mathematics. Engineering > Data processing. Artificial intelligence. Signal, Speech and Image Processing. Mathematical Methods in Physics. Theoretical, Mathematical and Computational Physics. Quantitative Economics. Mathematical and Computational Engineering Applications. Artificial Intelligence.
On-line přístup:	https://doi.org/10.1007/978-3-031-33764-2
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