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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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Corporate Author: SpringerLink (Online service)
Other Authors: Hero, Alfred Olivier. (Editor, http://id.loc.gov/vocabulary/relators/edt), Castañón, David. (Editor, http://id.loc.gov/vocabulary/relators/edt), Cochran, Doug. (Editor, http://id.loc.gov/vocabulary/relators/edt), Kastella, Keith. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Language:English
Published: New York, NY : Springer US : Imprint: Springer, 2008.
Edition:1st ed. 2008.
Series:Signals and Communication Technology,
Subjects:
Signal processing.
Image processing.
Speech processing systems.
Electrical engineering.
Control engineering.
Robotics.
Mechatronics.
Coding theory.
Information theory.
Signal, Image and Speech Processing.
Communications Engineering, Networks.
Control, Robotics, Mechatronics.
Coding and Information Theory.
Electrical Engineering.
Online Access:https://doi.org/10.1007/978-0-387-49819-5
Summary: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.
Physical Description:XVIII, 310 p. online resource.
ISBN:9780387498195
ISSN:1860-4862

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