Téléchargez le livre : Kalman Filtering Under Information Theoretic Criteria

Kalman Filtering Under Information Theoretic Criteria

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Springer


Paru le : 2023-08-18

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Description
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.
Pages
294 pages
Collection
n.c
Parution
2023-08-18
Marque
Springer
EAN papier
9783031337635
EAN PDF
9783031337642
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
29
Taille du fichier
10353 Ko
Prix
123,04 €
EAN EPUB
9783031337642
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
29
Taille du fichier
46438 Ko
Prix
123,04 €

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