Compressive Sensing for Urban Radar (Record no. 4186)

MARC details
000 -LEADER
fixed length control field 02542 a2200385 4500
001 - CONTROL NUMBER
control field 1466597852
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250317111602.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250312042017xx 196 eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781466597853
037 ## - SOURCE OF ACQUISITION
Source of stock number/acquisition Taylor & Francis
Terms of availability GBP 81.99
Form of issue BB
040 ## - CATALOGING SOURCE
Original cataloging agency 01
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
072 7# - SUBJECT CATEGORY CODE
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Subject category code TEC036000
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Subject category code TEC024000
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Subject category code POL002000
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Subject category code TEC007000
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Subject category code TEC013000
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072 7# - SUBJECT CATEGORY CODE
Subject category code 621.38485
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100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Moeness Amin
245 10 - TITLE STATEMENT
Title Compressive Sensing for Urban Radar
250 ## - EDITION STATEMENT
Edition statement 1
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Name of publisher, distributor, etc. CRC Press
Date of publication, distribution, etc. 20171219
300 ## - PHYSICAL DESCRIPTION
Extent 508 p
520 ## - SUMMARY, ETC.
Expansion of summary note With the emergence of compressive sensing and sparse signal reconstruction, approaches to urban radar have shifted toward relaxed constraints on signal sampling schemes in time and space, and to effectively address logistic difficulties in data acquisition. Traditionally, these challenges have hindered high resolution imaging by restricting both bandwidth and aperture, and by imposing uniformity and bounds on sampling rates. Compressive Sensing for Urban Radar is the first book to focus on a hybrid of two key areas: compressive sensing and urban sensing. It explains how reliable imaging, tracking, and localization of indoor targets can be achieved using compressed observations that amount to a tiny percentage of the entire data volume. Capturing the latest and most important advances in the field, this state-of-the-art text: Covers both ground-based and airborne synthetic aperture radar (SAR) and uses different signal waveforms Demonstrates successful applications of compressive sensing for target detection and revealing building interiors Describes problems facing urban radar and highlights sparse reconstruction techniques applicable to urban environments Deals with both stationary and moving indoor targets in the presence of wall clutter and multipath exploitation Provides numerous supporting examples using real data and computational electromagnetic modeling Featuring 13 chapters written by leading researchers and experts, Compressive Sensing for Urban Radar is a useful and authoritative reference for radar engineers and defense contractors, as well as a seminal work for graduate students and academia.

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