000 02248nam a2200361 i 4500
001 CR9781108552653
003 UkCbUP
005 20240730160813.0
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.
_912209
650 0 _aCompressed sensing (Telecommunication)
_94529
700 1 _aDe Maio, Antonio,
_d1974-
_eeditor.
_974887
700 1 _aEldar, Yonina C.,
_eeditor.
_974888
700 1 _aHaimovich, Alexander M.,
_d1954-
_eeditor.
_974889
776 0 8 _iPrint version:
_z9781108428293
856 4 0 _uhttps://doi.org/10.1017/9781108552653
942 _cEBK
999 _c84283
_d84283