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240202 ||| eng |
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|a 9789535138273
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|a 9789535140382
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|a 9789535138280
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|a intechopen.68249
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100 |
1 |
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|a Luiz de Oliveira Serra, Ginalber
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245 |
0 |
0 |
|a Kalman Filters
|h Elektronische Ressource
|b Theory for Advanced Applications
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260 |
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|b IntechOpen
|c 2018
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300 |
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|a 1 electronic resource (314 p.)
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653 |
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|a Applied mathematics / bicssc
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653 |
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|a parameter estimation, ensemble kalman filter, state estimation, pattern recognition, sensitivity analysis, extended kalman filter
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700 |
1 |
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|a Luiz de Oliveira Serra, Ginalber
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041 |
0 |
7 |
|a eng
|2 ISO 639-2
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989 |
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|b DOAB
|a Directory of Open Access Books
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500 |
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|a Creative Commons (cc), https://creativecommons.org/licenses/by/3.0/
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028 |
5 |
0 |
|a 10.5772/intechopen.68249
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856 |
4 |
0 |
|u https://mts.intechopen.com/storage/books/6129/authors_book/authors_book.pdf
|7 0
|x Verlag
|3 Volltext
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856 |
4 |
2 |
|u https://directory.doabooks.org/handle/20.500.12854/130359
|z DOAB: description of the publication
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082 |
0 |
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|a 500
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520 |
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|a This book presents recent issues on theory and practice of Kalman filters, with a comprehensive treatment of a selected number of concepts, techniques, and advanced applications. From an interdisciplinary point of view, the contents from each chapter bring together an international scientific community to discuss the state of the art on Kalman filter-based methodologies for adaptive/distributed filtering, optimal estimation, dynamic prediction, nonstationarity, robot navigation, global navigation satellite systems, moving object tracking, optical communication systems, and active power filters, among others. The theoretical and methodological foundations combined with extensive experimental explanation make this book a reference suitable for students, practicing engineers, and researchers in sciences and engineering.
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