Foundations and applications of sensor management

Foundations and Applications of Sensor Management presents the emerging theory of sensor management with applications to real-world examples such as landmine detection, adaptive signal and image sampling, multi-target tracking, and radar waveform scheduling. It is written by leading experts in the f...

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Další autoři: Hero, Alfred Olivier (Šéfredaktor, odpovědný redaktor), Castañón, David (Šéfredaktor, odpovědný redaktor), Cochran, Doug (Šéfredaktor, odpovědný redaktor), Kastella, Keith (Šéfredaktor, odpovědný redaktor)
Médium: Livre numérique
Jazyk:Anglais
Vydáno: New York, NY : Springer US 2008.
Cham : Springer Nature
Edice:Signals and Communication Technology
On-line přístup:Accès sur la plateforme de l'éditeur
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Accès Université d'Orléans
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Poznámka: Archives Springer e-books (Licence nationale)
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Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Foundations and Applications of Sensor Management, Texte imprimé, 9780387508535
• Foundations and Applications of Sensor Management, Texte imprimé, 9781441939111
• Foundations and applications of sensor management, ed. par A.O. Hero ... [et al.], 2008, New York, Springer, 1 vol. (XVIII-308 p.), Signals and communication technology, 0-387-27892-3
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505 0 |a Overview of Book -- Stochastic Control Theory for Sensor Management -- Information Theoretic Approaches to Sensor Management -- Joint Multi-Target Particle Filtering -- Pomdp Approximation Using Simulation and Heuristics -- Multi-Armed Bandit Problems -- Application of Multi-Armed Bandits to Sensor Management -- Active Learning and Sampling -- Plan-In-Advance Active Learning 0f Classifiers -- Application of Sensor Scheduling Concepts to Radar -- Defense Applications -- Appendices. 
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520 |a Foundations and Applications of Sensor Management presents the emerging theory of sensor management with applications to real-world examples such as landmine detection, adaptive signal and image sampling, multi-target tracking, and radar waveform scheduling. It is written by leading experts in the field for a diverse engineering audience ranging from signal processing, to automatic control, statistics, and machine learning. The level of treatment of the book is tutorial and self-contained. The chapters of the book follow a logical development from theoretical foundations to approximate approaches and ending with applications. The coverage includes the following topics: stochastic control foundations of sensor management; multi-armed bandits and their connections to sensor management; information-theoretic approaches; managed sensing for multi-target tracking; approximation methods based on embedded simulation; active learning for classification and sampling; and waveform scheduling for radar. An appendix is included to provide essential background on topics the reader may not have encountered as a first-year graduate student: Markov decision processes; information theory; and stopping times. Foundations and Applications of Sensor Management is an important reference for signal processing and control engineers and researchers as well as machine learning application developers. 
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700 1 |a Kastella, Keith.  |4 pbd 
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