Téléchargez le livre : Optimal Estimation and Information Fusion: Theory and Algorithms

Optimal Estimation and Information Fusion: Theory and Algorithms

de

Éditeur :

Springer


Paru le : 2025-08-25

eBook Téléchargement , DRM LCP 🛈 DRM Adobe 🛈
Lecture en ligne (streaming)
158,24 €
Téléchargement immédiat
Dès validation de votre commande
Image Louise Reader présentation

Louise Reader

Lisez ce titre sur l'application Louise Reader.

badge apple Application Louise Reader
badge Android Application Louise Reader
Description

This book mainly focuses on the theme of optimizing estimation and sensor information fusion processing for stochastic dynamic systems. It summarizes the basic theories and methods of optimizing estimation and information fusion direction, including stochastic system models, optimal estimation methods, linear state estimation, nonlinear state estimation, information fusion models, structures, data processing methods, data association based on multi-source data estimation, and other aspects.
On the basis of years of teaching practice, the author optimizes the content layout, focuses on the basic theoretical methods of the subject, emphasizes the systematic nature of the theory and the rigor of expression, selectively cuts out some outdated content, and introduces some important and widely accepted new developments in the subject.
On the other hand, this book also serves as a reference material for technical developers in this field.
Pages
488 pages
Collection
n.c
Parution
2025-08-25
Marque
Springer
EAN papier
9789819631728
EAN PDF
9789819631735
Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
48
Taille du fichier
16292 Ko
Prix
158,24 €
EAN EPUB
9789819631735
Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
48
Taille du fichier
38318 Ko
Prix
158,24 €

Suggestions personnalisées