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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...
| Päätekijät: | Kovvali, Narayan V. S. K. (Tekijä), Banavar, Mahesh K. (Tekijä), Spanias, Andreas (Tekijä) |
|---|---|
| Aineistotyyppi: | E-kirja |
| Kieli: | English |
| Julkaistu: |
San Rafael, California (1537 Fourth Street, San Rafael, CA 94901 USA) :
Morgan & Claypool,
2014.
|
| Sarja: | Synthesis digital library of engineering and computer science.
Synthesis lectures on signal processing ; # 12. |
| Aiheet: | |
| Linkit: | Abstract with links to full text |
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