Description: Kalman Filtering : Theory and Practice Using MATLAB, Hardcover by Grewal, Mohinder S.; Andrews, Angus P., ISBN 1118851218, ISBN-13 9781118851210, Like New Used, Free P&P in the UK This graduate textbook introduces the linear dynamic models used in Kalman filtering, random process modeling, stochastic systems, linear optimal filters and predictors, optimal smoothing methods, implementation techniques for maintaining numerical accuracy, and approximation methods for nonlinear applications. The final chapter demonstrates how to derive and implement Kalman filtering configurations for global navigation satellite system receivers. An appendix lists the MATLAB software for each chapter available on the companion website. The fourth edition adds a chapter on the attributes of probability distributions relevant to Kalman filtering, a section on the sigmaRho filter, and new examples of sensor integration for navigation systems. Annotation ©2015 Ringgold, Inc., Portland, OR ()
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Book Title: Kalman Filtering : Theory and Practice Using MATLAB
Number of Pages: 640 Pages
Publication Name: Kalman Filtering: Theory and Practice with Matlab
Language: English
Publisher: John Wiley & Sons INC International Concepts
Item Height: 249 mm
Subject: Engineering & Technology, Computer Science
Publication Year: 2015
Type: Textbook
Item Weight: 1044 g
Subject Area: Mechanical Engineering
Author: Mohinder S. Grewal, Angus P. Andrews
Item Width: 158 mm
Series: Ieee Press
Format: Hardcover
