000			02196nam a22003498i 4500
001			CR9781108552653
003			UkCbUP
005			20200127152301.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			170927s2020||||enk o ||1 0|eng|d
020			_a9781108552653 (ebook)
020			_z9781108428293 (hardback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aTK6580 _b.C66 2020
082	0	0	_a621.3848/3 _223
245	0	0	_aCompressed sensing in radar signal processing / _cedited by Antonio De Maio, Yonina C. Eldar, Alexander M. Haimovich.
264		1	_aCambridge : _bCambridge University Press, _c2020.
300			_a1 online resource (xxi, 357 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 04 Oct 2019).
520			_aLearn about the most recent theoretical and practical advances in radar signal processing using tools and techniques from compressive sensing. Providing a broad perspective that fully demonstrates the impact of these tools, the accessible and tutorial-like chapters cover topics such as clutter rejection, CFAR detection, adaptive beamforming, random arrays for radar, space-time adaptive processing, and MIMO radar. Each chapter includes coverage of theoretical principles, a detailed review of current knowledge, and discussion of key applications, and also highlights the potential benefits of using compressed sensing algorithms. A unified notation and numerous cross-references between chapters make it easy to explore different topics side by side. Written by leading experts from both academia and industry, this is the ideal text for researchers, graduate students and industry professionals working in signal processing and radar.
650		0	_aRadar.
650		0	_aCompressed sensing (Telecommunication)
700	1		_aDe Maio, Antonio, _d1974- _eeditor.
700	1		_aEldar, Yonina C., _eeditor.
700	1		_aHaimovich, Alexander M., _d1954- _eeditor.
776	0	8	_iPrint version: _z9781108428293
856	4	0	_uhttps://doi.org/10.1017/9781108552653
999			_c524090 _d524088