000			02332nam a22003498i 4500
001			CR9781139095174
003			UkCbUP
005			20200124160330.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			110608s2012||||enk o ||1 0|eng|d
020			_a9781139095174 (ebook)
020			_z9781107019690 (hardback)
040			_aUkCbUP _beng _erda _cUkCbUP
050		4	_aTK7872.D48 _bH4 2012
082	0	4	_a681.2 _223
100	1		_aHe, Hao, _d1976- _eauthor.
245	1	0	_aWaveform design for active sensing systems : _ba computational approach / _cHao He, Jian Li, Petre Stoica.
264		1	_aCambridge : _bCambridge University Press, _c2012.
300			_a1 online resource (ix, 312 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
520			_aWith a focus on developing computational algorithms for examining waveform design in diverse active sensing applications, this guide is ideal for researchers and practitioners in the field. The three parts conveniently correspond to the three categories of desirable waveform properties: good aperiodic correlations, good periodic correlations and beampattern matching. The book features various application examples of using the newly designed waveforms, including radar imaging, channel estimation for communications, an ultrasound system for breast cancer treatment and covert underwater communications. In addition to numerical results, the authors present theoretical analyses describing lower bounds or limitations of performance. Focusing on formulating practical problems mathematically and solving the mathematical problems using efficient and effective optimization techniques, the text pays particular attention to developing easy-to-use computational approaches. Most algorithms are accompanied by a table clearly detailing iteration steps and corresponding MATLAB codes are available on the companion website.
650		0	_aSensor networks _xDesign.
650		0	_aComputer algorithms.
700	1		_aLi, Jian, _eauthor.
700	1		_aStoica, Petre, _eauthor.
776	0	8	_iPrint version: _z9781107019690
856	4	0	_uhttps://doi.org/10.1017/CBO9781139095174
999			_c522446 _d522444