000			03547nam a22004815i 4500
001			978-0-387-49819-5
003			DE-He213
005			20250710084004.0
007			cr nn 008mamaa
008			100301s2008 xxu| s |||| 0|eng d
020			_a9780387498195 _a99780387498195
024	7		_a10.1007/978-0-387-49819-5 _2doi
082	0	4	_a621.382 _223
100	1		_aHero, Alfred O. _eeditor.
245	1	0	_aFoundations and Applications of Sensor Management _h[recurso electrónico] / _cedited by Alfred O. Hero, David A. Castañón, Douglas Cochran, Keith Kastella.
264		1	_aBoston, MA : _bSpringer US, _c2008.
300			_bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aOverview 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.
520			_aFoundations 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.
650		0	_aENGINEERING.
650		0	_aCODING THEORY.
650		0	_aTELECOMMUNICATION.
650	1	4	_aENGINEERING.
650	2	4	_aSIGNAL, IMAGE AND SPEECH PROCESSING.
650	2	4	_aCONTROL ENGINEERING.
650	2	4	_aCODING AND INFORMATION THEORY.
650	2	4	_aCOMMUNICATIONS ENGINEERING, NETWORKS.
650	2	4	_aELECTRONIC AND COMPUTER ENGINEERING.
700	1		_aCastañón, David A. _eeditor.
700	1		_aCochran, Douglas. _eeditor.
700	1		_aKastella, Keith. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387278926
856	4	0	_uhttp://dx.doi.org/10.1007/978-0-387-49819-5 _zVer el texto completo en las instalaciones del CICY
912			_aZDB-2-ENG
942			_2ddc _cER
999			_c57884 _d57884