Kalman Filtering - with Real-Time Applications (Paperback, Softcover reprint of the original 5th ed. 2017)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Release date:	July 2018
First published:	2017
Authors:	Charles K. Chui • Guanrong Chen
Dimensions:	235 x 155 x 14mm (L x W x T)
Format:	Paperback
Pages:	247
Edition:	Softcover reprint of the original 5th ed. 2017
ISBN-13:	978-3-319-83780-2
Categories:	Books > Business & Economics > Economics > Economic theory & philosophy Books > Science & Mathematics > Physics > General Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-319-83780-X
Barcode:	9783319837802

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