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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...
| 主要な著者: | , , |
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| フォーマット: | eBook |
| 言語: | English |
| 出版事項: |
San Rafael, California (1537 Fourth Street, San Rafael, CA 94901 USA) :
Morgan & Claypool,
2014.
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| シリーズ: | Synthesis digital library of engineering and computer science.
Synthesis lectures on signal processing ; # 12. |
| 主題: | |
| オンライン･アクセス: | Abstract with links to full text |