TY  - BOOK
AU  - Hero,Alfred O.
AU  - Castañón,David A.
AU  - Cochran,Douglas
AU  - Kastella,Keith
ED  - SpringerLink (Online service)
TI  - Foundations and Applications of Sensor Management
SN  - 9780387498195
AV  - TK5102.9 
U1  - 621.382 23
PY  - 2008///
CY  - Boston, MA
PB  - Springer US
KW  - Engineering
KW  - Coding theory
KW  - Telecommunication
KW  - Signal, Image and Speech Processing
KW  - Control Engineering
KW  - Coding and Information Theory
KW  - Communications Engineering, Networks
KW  - Electronic and Computer Engineering
N1  - 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
N2  - 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
UR  - http://dx.doi.org/10.1007/978-0-387-49819-5
ER  -