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"Kalman Filtering with Real-Time Applications" 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. The last two topics are new additions to this third edition. 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.
About the Author: Chui is a professor of mathematics at Texas A&M University.
Title: Kalman Filtering: With Real-Time Applications
Publisher: Springer-Verlag
Publication Date: 1991
Binding: paperback
Condition: Good
Edition: 2nd Edition
Seller: Ammareal, Morangis, France
Softcover. Condition: Très bon. Ancien livre de bibliothèque. Salissures sur la tranche. Edition 1991. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Stains on the edge. Edition 1991. Ammareal gives back up to 15% of this item's net price to charity organizations. Seller Inventory # D-864-688
Quantity: 1 available