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

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• Category:  Books  »  Engineering & Technology  »  Engineering - Electrical & Electronic
• Format: Hardcover   Learn more about the Hardcover format using Tower WIKI.
• Publisher: Springer Verlag
• ISBN: 0387278923
• WAPI (Tower ID): 100137848
• Release Date: November 15, 2007
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• Tower.com Sales Rank: #993566 in Books (See Top 100 Books Bestsellers)
• #8605 in Engineering & Technology (See Top 100 Engineering & Technology Bestsellers)
• #544 in Engineering - Electrical & Electronic (See Top 100 Engineering - Electrical & Electronic Bestsellers)

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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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