Kalman Filtering: with Real-Time Applications (Springer Series in Information Sciences) | 
enlarge | Authors: Charles K. Chui, Guanrong Chen Publisher: Springer Category: Book
Buy New: $143.49
New (1) Used (5) from $50.00
Sales Rank: 1827842
Media: Paperback Edition: 3rd Pages: 229 Number Of Items: 1 Shipping Weight (lbs): 0.8 Dimensions (in): 9.5 x 6.3 x 0.8
ISBN: 3540646116 Dewey Decimal Number: 629.8312 EAN: 9783540646112
Publication Date: December 11, 1998 Availability: Usually ships in 1-2 business days
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| Editorial Reviews:
Product Description 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 knowled
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