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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...
| Huvudupphovsmän: | , , |
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| Materialtyp: | E-bok |
| Språk: | English |
| Publicerad: |
San Rafael, California (1537 Fourth Street, San Rafael, CA 94901 USA) :
Morgan & Claypool,
2014.
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| Serie: | Synthesis digital library of engineering and computer science.
Synthesis lectures on signal processing ; # 12. |
| Ämnen: | |
| Länkar: | Abstract with links to full text |