Description: Kalman Filtering Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). with Real-Time Applications Author(s): Charles K. Chui, Guanrong Chen Format: Paperback Publisher: Springer International Publishing AG, Switzerland Imprint: Springer International Publishing AG ISBN-13: 9783319837802, 978-3319837802 Synopsis This new edition presents a thorough discussion of the mathematical theory and computational schemes of Kalman filtering. The filtering algorithms are derived via different approaches, including a direct method consisting of a series of elementary steps, and an indirect method based on innovation projection. Other topics include Kalman filtering for systems with correlated noise or colored noise, limiting Kalman filtering for time-invariant systems, extended Kalman filtering for nonlinear systems, interval Kalman filtering for uncertain systems, and wavelet Kalman filtering for multiresolution analysis of random signals. Most filtering algorithms are illustrated by using simplified radar tracking examples. The style of the book is informal, and the mathematics is elementary but rigorous. The text is self-contained, suitable for self-study, and accessible to all readers with a minimum knowledge of linear algebra, probability theory, and system engineering. Over 100 exercises and problems with solutions help deepen the knowledge. This new edition has a new chapter on filtering communication networks and data processing, together with new exercises and new real-time applications.
Price: 36.68 GBP
Location: Aldershot
End Time: 2025-01-06T09:23:24.000Z
Shipping Cost: 28.48 GBP
Product Images
Item Specifics
Return postage will be paid by: Buyer
Returns Accepted: Returns Accepted
After receiving the item, your buyer should cancel the purchase within: 60 days
Return policy details:
Book Title: Kalman Filtering
Number of Pages: 247 Pages
Publication Name: Kalman Filtering: with Real-Time Applications
Language: English
Publisher: Springer International Publishing A&G
Item Height: 235 mm
Subject: Economics, Engineering & Technology, Computer Science, Physics
Publication Year: 2018
Type: Textbook
Item Weight: 4102 g
Author: Charles K. Chui, Guanrong Chen
Item Width: 155 mm
Format: Paperback