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Compressed Sensing for Engineers

Af: Angshul Majumdar Engelsk Paperback

Compressed Sensing for Engineers

Af: Angshul Majumdar Engelsk Paperback
Tjek vores konkurrenters priser

Compressed Sensing (CS) in theory deals with the problem of recovering a 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 recent years, CS has helped reduce scan time in Magnetic Resonance Imaging (making scans more feasible for pediatric and geriatric subjects) and has also helped reduce the health hazard in X-Ray Computed CT. This book is a valuable resource suitable for an engineering student in signal processing and requires a basic understanding of signal processing and linear algebra.

  • Covers fundamental concepts of compressed sensing
  • Makes subject matter accessible for engineers of various levels
  • Focuses on algorithms including group-sparsity and row-sparsity, as well as applications to computational imaging, medical imaging, biomedical signal processing, and machine learning
  • Includes MATLAB examples for further development
Tjek vores konkurrenters priser
Normalpris
kr 602
Fragt: 39 kr
6 - 8 hverdage
20 kr
Pakkegebyr
God 4 anmeldelser på
Tjek vores konkurrenters priser

Compressed Sensing (CS) in theory deals with the problem of recovering a 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 recent years, CS has helped reduce scan time in Magnetic Resonance Imaging (making scans more feasible for pediatric and geriatric subjects) and has also helped reduce the health hazard in X-Ray Computed CT. This book is a valuable resource suitable for an engineering student in signal processing and requires a basic understanding of signal processing and linear algebra.

  • Covers fundamental concepts of compressed sensing
  • Makes subject matter accessible for engineers of various levels
  • Focuses on algorithms including group-sparsity and row-sparsity, as well as applications to computational imaging, medical imaging, biomedical signal processing, and machine learning
  • Includes MATLAB examples for further development
Produktdetaljer
Sprog: Engelsk
Sider: 292
ISBN-13: 9781032338712
Indbinding: Paperback
Udgave:
ISBN-10: 1032338717
Kategori: Elektroteknik
Udg. Dato: 13 jun 2022
Længde: 19mm
Bredde: 235mm
Højde: 156mm
Forlag: Taylor & Francis Ltd
Oplagsdato: 13 jun 2022
Forfatter(e): Angshul Majumdar
Forfatter(e) Angshul Majumdar


Kategori Elektroteknik


ISBN-13 9781032338712


Sprog Engelsk


Indbinding Paperback


Sider 292


Udgave


Længde 19mm


Bredde 235mm


Højde 156mm


Udg. Dato 13 jun 2022


Oplagsdato 13 jun 2022


Forlag Taylor & Francis Ltd

Kategori sammenhænge