Kalman Filtering Under Information Theoretic Criteria
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- Hardcover
- Taschenbuch
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Form:Einzelkauf Download
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Sprache:Englisch
Fr. 144.90
inkl. gesetzl. MwSt.Beschreibung
Produktdetails
Format
Kopierschutz
Nein
Family Sharing
Nein
Text-to-Speech
Nein
Erscheinungsdatum
18.08.2023
Verlag
Springer Nature SwitzerlandSeitenzahl
294 (Printausgabe)
Dateigröße
10348 KB
Sprache
Englisch
EAN
9783031337642
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 perspectives and results in a single resource for students and practitioners in relevant application fields. Each chapter starts with a brief review of fundamentals, presents the material focused on the most important properties and evaluates comparatively the models discussing free parameters and their effect on the results. Proofs are provided at the end of each chapter. The book is geared to senior undergraduates with a basic understanding of linear algebra, signal processing and statistics, as well as graduate students or practitioners with experience in Kalman filtering.
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