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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: | , , |
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| 格式: | 電子書 |
| 語言: | English |
| 出版: |
San Rafael, California (1537 Fourth Street, San Rafael, CA 94901 USA) :
Morgan & Claypool,
2014.
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| 叢編: | Synthesis digital library of engineering and computer science.
Synthesis lectures on signal processing ; # 12. |
| 主題: | |
| 在線閱讀: | Abstract with links to full text |