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Data Fusion: Concepts and Ideas
"Data Fusion: Concepts and Ideas" provides a comprehensive introduction to the concepts and idea of multisensor data fusion. This textbook is an extensively revised second edition of the author's successful book: "Multi-Sensor Data Fusion: An Introduction". The book is self-...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2012.
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| Edición: | 2nd ed. 2012. |
| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
| LEADER | 00000nam a22000005i 4500 | ||
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| 001 | 978-3-642-27222-6 | ||
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| 005 | 20220116005913.0 | ||
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| 020 | |a 9783642272226 |9 978-3-642-27222-6 | ||
| 024 | 7 | |a 10.1007/978-3-642-27222-6 |2 doi | |
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| 100 | 1 | |a Mitchell, H B. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Data Fusion: Concepts and Ideas |h [electronic resource] / |c by H B Mitchell. |
| 250 | |a 2nd ed. 2012. | ||
| 264 | 1 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg : |b Imprint: Springer, |c 2012. | |
| 300 | |a XIV, 346 p. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 505 | 0 | |a Introduction -- Sensors -- Architecture -- Common Representational Format -- Spatial Alignment -- Temporal Alignment -- Semantic Alignment -- Radiometric Normalization -- Bayesian Inference -- Parameter Estimation -- Robust Statistics -- Sequential Bayesian Inference -- Bayesian Decision Theory -- Ensemble Learning -- Sensor Management. | |
| 520 | |a "Data Fusion: Concepts and Ideas" provides a comprehensive introduction to the concepts and idea of multisensor data fusion. This textbook is an extensively revised second edition of the author's successful book: "Multi-Sensor Data Fusion: An Introduction". The book is self-contained and no previous knowledge of multi-sensor data fusion is assumed. The reader is made familiar with tools taken from a wide range of diverse subjects including: neural networks, signal processing, statistical estimation, tracking algorithms, computer vision and control theory which are combined by using a common statistical framework. As a consequence, the underlying pattern of relationships that exists between the different methodologies is made evident. The book is illustrated with many real-life examples taken from a diverse range of applications and contains an extensive list of modern references. The new completely revised and updated edition includes nearly 70 pages of new material including a full new chapter as well as approximately 30 new sections, 50 new examples and 100 new references as well as additional Matlab code where appropriate. | ||
| 650 | 0 | |a Signal processing. | |
| 650 | 0 | |a Computational intelligence. | |
| 650 | 0 | |a Electronics. | |
| 650 | 1 | 4 | |a Signal, Speech and Image Processing . |
| 650 | 2 | 4 | |a Computational Intelligence. |
| 650 | 2 | 4 | |a Electronics and Microelectronics, Instrumentation. |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783642272219 |
| 776 | 0 | 8 | |i Printed edition: |z 9783642437304 |
| 776 | 0 | 8 | |i Printed edition: |z 9783642272233 |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/978-3-642-27222-6 |z Texto Completo |
| 912 | |a ZDB-2-ENG | ||
| 912 | |a ZDB-2-SXE | ||
| 950 | |a Engineering (SpringerNature-11647) | ||
| 950 | |a Engineering (R0) (SpringerNature-43712) | ||