Kalman Filtering Under Information Theoretic Criteria
Produktnummer:
188dd176e81ca54648af8b7266c51757b9
| Autor: | Chen, Badong Dang, Lujuan Principe, Jose C. Zheng, Nanning |
|---|---|
| Themengebiete: | Kalman filtering cubature Kalman filtering extended Kalman filtering fixed-point algorithm maximum correntropy criterion minimum error entropy criterion robust Kalman filtering state estimation unscented Kalman filtering |
| Veröffentlichungsdatum: | 19.08.2023 |
| EAN: | 9783031337635 |
| Sprache: | Englisch |
| Seitenzahl: | 294 |
| Produktart: | Gebunden |
| Verlag: | Springer International Publishing |
Produktinformationen "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 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.
Sie möchten lieber vor Ort einkaufen?
Sie haben Fragen zu diesem oder anderen Produkten oder möchten einfach gerne analog im Laden stöbern? Wir sind gerne für Sie da und beraten Sie auch telefonisch.
Juristische Fachbuchhandlung
Georg Blendl
Parcellistraße 5 (Maxburg)
8033 München
Montag - Freitag: 8:15 -18 Uhr
Samstags geschlossen