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Compressed sensing for engineers /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Compressed sensing for engineers /Angshul Majumdar.
Author:	Majumdar, Angshul,
Published:	Boca Raton, FL :CRC Press/Taylor & Francis,c2019.
Description:	xxiii, 268 p. :ill. ;24 cm.
Notes:	First issued in paperback 2022.
Subject:	Compressed sensing (Telecommunication)
ISBN:	9781032338712 (pbk.) :

Compressed sensing for engineers /
Majumdar, Angshul,

Compressed sensing for engineers /Angshul Majumdar. - Boca Raton, FL :CRC Press/Taylor & Francis,c2019. - xxiii, 268 p. :ill. ;24 cm. - Devices, circuits, and systems. - Devices, circuits, and systems..

First issued in paperback 2022.

Includes bibliographical references and index.

Greedy algorithms -- Sparse recovery -- Co-sparse recovery -- Groupsparsity -- Joint sparsity -- Low-rank matrix recovery -- Combined sparseand low-rank recovery -- Dictionary learning -- Medical imaging --Biomedical signal reconstruction -- Regression -- Classification --Computational imaging -- Denoising.

"Compressed Sensing (CS) in theory deals with the problem of recoveringa sparse signal from an under-determined system of linear equations. The topic is of immense practical significance since all naturally occurring signals can be sparsely represented in some domain. In the recent past, CS has helped reduce scan time in Magnetic Resonance Imaging (making scans morefeasible for pediatric and geriatric subjects) and reduce the health hazard in X-Ray Computed CT. The book with be suitable for an engineering studentin signal processing and requires a basic understanding of signal processing and linear algebra"--Provided by publisher.

ISBN: 9781032338712 (pbk.) :NT$1543

LCCN: 2018037706Subjects--Topical Terms:

769143
Compressed sensing (Telecommunication)

LC Class. No.: TA1638 / .M35 2019

Dewey Class. No.: 621.36/78

Compressed sensing for engineers /
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020 $a 9781032338712 (pbk.) : $c NT$1543
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245 1 0 $a Compressed sensing for engineers / $c Angshul Majumdar.
260 $a Boca Raton, FL : $b CRC Press/Taylor & Francis, $c c2019.
300 $a xxiii, 268 p. : $b ill. ; $c 24 cm.
490 1 $a Devices, circuits, and systems
500 $a First issued in paperback 2022.
504 $a Includes bibliographical references and index.
505 0 $a Greedy algorithms -- Sparse recovery -- Co-sparse recovery -- Groupsparsity -- Joint sparsity -- Low-rank matrix recovery -- Combined sparseand low-rank recovery -- Dictionary learning -- Medical imaging --Biomedical signal reconstruction -- Regression -- Classification --Computational imaging -- Denoising.
520 $a "Compressed Sensing (CS) in theory deals with the problem of recoveringa sparse signal from an under-determined system of linear equations. The topic is of immense practical significance since all naturally occurring signals can be sparsely represented in some domain. In the recent past, CS has helped reduce scan time in Magnetic Resonance Imaging (making scans morefeasible for pediatric and geriatric subjects) and reduce the health hazard in X-Ray Computed CT. The book with be suitable for an engineering studentin signal processing and requires a basic understanding of signal processing and linear algebra"--Provided by publisher.
650 0 $a Compressed sensing (Telecommunication) $3 769143
650 0 $a Image compression. $3 184477
650 0 $a Image processing $x Digital techniques. $3 182119
650 0 $a Signal processing $x Mathematics. $3 183873
830 0 $a Devices, circuits, and systems. $3 563102