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Foundations and Applications of Sensor Management presents the emerging theory of sensor management with applications to realworld examples such as landmine detection, adaptive signal and image sampling, multitarget 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 selfcontained.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; multiarmed bandits and their connections to sensor management; informationtheoretic approaches; managed sensing for multitarget 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 firstyear 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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birth defects, or other reproductive harm.
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