Foundations and Applications of Sensor Management (Signals and Communication Technology)

Hero, Alfred O., Jr. (Editor)/ Castanon, David A. (Editor)/ Cochran, Douglas (Editor)/ Kastella, Keith (Editor)

ISBN 10: 0387278923 / ISBN 13: 9780387278926

Editore: Springer Verlag, 2007

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1st edition. 308 pages. 9.50x6.00x0.75 inches. In Stock.

Codice articolo x-0387278923

Dati bibliografici

• Titolo: Foundations and Applications of Sensor Management (Signals and Communication Technology)
• Editore: Springer Verlag
• Data di pubblicazione: 2007
• Lingua: Inglese
• ISBN 10: 0387278923
• ISBN 13: 9780387278926
• Rilegatura: Hardcover
• Condizione: Brand New
• Peso: 0,66 chilogrammi

Descrizione articolo

Riassunto

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.