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1 |
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|a Morrison, Norman.
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1 |
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|a Tracking filter engineering :
|b the Gauss-Newton and polynomial filters /
|c Norman Morrison.
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260 |
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|a London :
|b Institution of Engineering and Technology,
|c ©2013.
|
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|a 1 online resource (516 pages)
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|a text
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1 |
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|a IET radar, sonar and navigation series ;
|v 23
|
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|a Includes bibliographical references and index.
|
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0 |
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|a Preface; Acknowledgements; Why this book?; Organisation; Part 1. Background; 1. Readme_First; 2. Models, differential equations and transition matrices; 3. Observation schemes; 4. Random vectors and covariance matrices -- theory; 5. Random vectors and covariance matrices in filter engineering; 6. Bias errors; 7. Three tests for ECM consistency; Part 2. Non-recursive filtering; 8. Minimum variance and the Gauss-Aitken filters; 9. Minimum variance and the Gauss-Newton filters; 10. The master control algorithms and goodness-of-fit; Part 3. Recursive filtering.
|
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|a 11. The Kalman and Swerling filters12. Polynomial filtering -- 1; 13. Polynomial filtering -- 2; References; Index.
|
520 |
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|a Identifying an alternative approach to filter engineering and the traditional Kalman filters, this new book highlights the important advantages of the Gauss-Newton filters.
|
546 |
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|a English.
|
590 |
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|a Knovel
|b ACADEMIC - Aerospace & Radar Technology
|
650 |
|
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|a Digital filters (Mathematics)
|
650 |
|
6 |
|a Filtres numériques (Mathématiques)
|
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|
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|a Digital filters (Mathematics)
|2 fast
|0 (OCoLC)fst00893686
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710 |
2 |
|
|a Institution of Engineering and Technology.
|
776 |
0 |
8 |
|i Print version:
|a Morrison, Norman.
|t Tracking filter engineering.
|d London : Institution of Engineering and Technology, 2013
|z 9781849195546
|w (OCoLC)827268918
|
830 |
|
0 |
|a IET radar, sonar, navigation and avionics series ;
|v 23.
|
856 |
4 |
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|u https://appknovel.uam.elogim.com/kn/resources/kpTFETGNP1/toc
|z Texto completo
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