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An introduction to Kalman filtering with MATLAB examples /
The Kalman filter is the Bayesian optimum solution to the problem of sequentially estimating the states of a dynamical system in which the state evolution and measurement processes are both linear and Gaussian. Given the ubiquity of such systems, the Kalman filter finds use in a variety of applicati...
Main Authors: | Kovvali, Narayan V. S. K. (Author), Banavar, Mahesh K. (Author), Spanias, Andreas (Author) |
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Format: | eBook |
Language: | English |
Published: |
San Rafael, California (1537 Fourth Street, San Rafael, CA 94901 USA) :
Morgan & Claypool,
2014.
|
Series: | Synthesis digital library of engineering and computer science.
Synthesis lectures on signal processing ; # 12. |
Subjects: | |
Online Access: | Abstract with links to full text |
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