Logo

Kalman Filter Recent Advances and Applications

Small book cover: Kalman Filter Recent Advances and Applications

Kalman Filter Recent Advances and Applications
by

Publisher: INTECH
ISBN-13: 9789533070001
Number of pages: 584

Description:
The aim of this book is to provide an overview of recent developments in Kalman filter theory and their applications in engineering and scientific fields. The book is divided into 24 chapters and organized in five blocks corresponding to recent advances in Kalman filtering theory, applications in medical and biological sciences, tracking and positioning systems, electrical engineering and, finally, industrial processes and communication networks.

Home page url

Download or read it online for free here:
Download link
(ZIP/PDF)

Similar books

Book cover: Nonlinear Parameter Estimation: An Integrated System in BasicNonlinear Parameter Estimation: An Integrated System in Basic
by - Marcel Dekker Inc
This book and software collection is intended to help scientists, engineers and statisticians in their work. We have collected various software tools for nonlinear parameter estimation, along with representative example problems.
(15006 views)
Book cover: Bayesian Spectrum Analysis and Parameter EstimationBayesian Spectrum Analysis and Parameter Estimation
by - Springer
This work is a research document on the application of probability theory to the parameter estimation problem. The people who will be interested in this material are physicists, economists, and engineers who have to deal with data on a daily basis.
(18402 views)
Book cover: Digital Filters and Signal ProcessingDigital Filters and Signal Processing
by - InTech
Digital filters, together with signal processing, are being employed in the new technologies and information systems, and implemented in different areas and applications. This book presents advanced developments, covering different cases studies.
(9344 views)
Book cover: R. R. Bahadur's Lectures on the Theory of EstimationR. R. Bahadur's Lectures on the Theory of Estimation
by - IMS
In this volume the author covered what should be standard topics in a course of parametric estimation: Bayes estimates, unbiased estimation, Fisher information, Cramer-Rao bounds, and the theory of maximum likelihood estimation.
(11499 views)