Compressed sensing in radar signal processing / (Record no. 84283)

000 -LEADER
fixed length control field 02248nam a2200361 i 4500
001 - CONTROL NUMBER
control field CR9781108552653
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730160813.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 170927s2020||||enk o ||1 0|eng|d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781108552653 (ebook)
082 00 - CLASSIFICATION NUMBER
Call Number 621.3848/3
245 00 - TITLE STATEMENT
Title Compressed sensing in radar signal processing /
300 ## - PHYSICAL DESCRIPTION
Number of Pages 1 online resource (xxi, 357 pages) :
500 ## - GENERAL NOTE
Remark 1 Title from publisher's bibliographic system (viewed on 04 Oct 2019).
520 ## - SUMMARY, ETC.
Summary, etc Learn 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.
700 1# - AUTHOR 2
Author 2 De Maio, Antonio,
700 1# - AUTHOR 2
Author 2 Eldar, Yonina C.,
700 1# - AUTHOR 2
Author 2 Haimovich, Alexander M.,
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1017/9781108552653
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cambridge :
-- Cambridge University Press,
-- 2020.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Radar.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Compressed sensing (Telecommunication)

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