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A Kalman Filter Primer.
Eubank (mathematics and statistics, Arizona State U.) offers a self-contained, concise rigorous derivation of all the basic Kalman filter recursions from first principles. He lays out the basic prediction problem for signal-plus-noise models, deriving the Gramm-Schmidt algorithm and Cholesky decompo...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Hoboken :
CRC Press,
2005.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Eubank, R. L. | |
| 245 | 1 | 2 | |a A Kalman Filter Primer. |
| 260 | |a Hoboken : |b CRC Press, |c 2005. | ||
| 300 | |a 1 online resource (199 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 505 | 0 | |a Front Cover; Preface; Contents; 1. Signal-Plus-Noise Models; 2. The Fundamental Covariance Structure; 3. Recursions for L and L-1; 4. Forward Recursions; 5. Smoothing; 6. Initialization; 7. Normal Priors; 8. A General State-Space Model; Appendices; References; Index. | |
| 520 | |a Eubank (mathematics and statistics, Arizona State U.) offers a self-contained, concise rigorous derivation of all the basic Kalman filter recursions from first principles. He lays out the basic prediction problem for signal-plus-noise models, deriving the Gramm-Schmidt algorithm and Cholesky decomposition. He covers the fundamental covariance struc. | ||
| 588 | 0 | |a Print version record. | |
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Kalman filtering. | |
| 650 | 0 | |a Kalman filtering |x Textbooks. | |
| 650 | 6 | |a Filtre de Kalman. | |
| 650 | 7 | |a Kalman filtering |2 fast | |
| 655 | 7 | |a Textbooks |2 fast | |
| 758 | |i has work: |a A Kalman filter primer (Text) |1 https://id.oclc.org/worldcat/entity/E39PCGWJFCKQ3xhkbtfXcmhtBq |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 1 | |z 9780824723651 | |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=263751 |z Texto completo |
| 938 | |a EBL - Ebook Library |b EBLB |n EBL263751 | ||
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