000			01830cam a2200277Ia 4500
001			CRC00K13454000
003			FlBoTFG
005			20170124152731.0
008			120502s2013 fluadf b 001 0 eng
010			_a 2012015651
020			_a9781439874523
040			_aDLC _cDLC _dDLC _dFlBoTFG
050	0	0	_aTK7872.D48 _bN47 2013
092			_a681.2 _bN476
245	0	0	_aNetworked multisensor decision and estimation fusion : _bbased on advanced mathematical methods / _cYunmin Zhu ... [et al.].
260			_aBoca Raton, Fla. : _bCRC Press, _c2013.
300			_axix, 417 p., [2] p. of plates : _bill. (some col.) ; _c24 cm.
504			_aIncludes bibliographical references and index.
505	0		_a1. Introduction -- 2. Parallel statistical binary decision fusion -- 3. General network statistical decision fusion -- 4. Some uncertain decision combinations -- 5. Convex linear estimation fusion -- 6. Kalman filtering fusion -- 7. Robust estimation fusion.
520			_a"Multisource information fusion has become a crucial technique in areas such as sensor networks, space technology, air traffic control, military engineering, communications, industrial control, agriculture, and environmental engineering. Exploring recent signficant results, this book presents essential mathematical descriptions and methods for multisensory decision and estimation fusion. It covers general adapted methods and systematic results, includes computer experiments to support the theoretical results, and fixes several popular but incorrect results in the field"-- _cProvided by publisher.
530			_aAlso available as an electronic resource.
650		0	_aSensor networks.
650		0	_aMultisensor data fusion _xMathematics.
700	1		_aZhu, Yunmin, _d1944-
945			_a001 and 003 modified with TFG record number on 2012/08/31
999			_c415204 _d415204