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Kalman Filtering: with Real-Time Applications
Charles K. Chui
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Description for Kalman Filtering: with Real-Time Applications
Hardback. Num Pages: 247 pages, 34 black & white illustrations, biography. BIC Classification: KCA; PHU; TBJ; TJK; UMA. Category: (P) Professional & Vocational. Dimension: 235 x 155. .
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 ... Read more
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 ... Read more
Product Details
Format
Hardback
Publication date
2017
Publisher
Springer International Publishing AG
Condition
New
Number of Pages
247
Place of Publication
Cham, Switzerland
ISBN
9783319476100
SKU
V9783319476100
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Charles K. Chui
Prof. Dr. Charles K. Chui, Stanford University, Stanford, CA, USA Prof. Dr. Guanrong Chen, City Univesity Hong Kong, Kowloon, Hong Kong, PR China
Reviews for Kalman Filtering: with Real-Time Applications
Kalman filtering (KF) is a wide class of algorithms designed, in words selected from this outstanding book, `to obtain an optimal estimate' of the state of a system from information in the presence of noise. ... It is also written to serve as a reference for engineers ... . The book has my highest recommendation, and it will reward readers ... Read more