Compressed Sensing for Engineers by Angshul Majumdar, Hardcover, 9780815365563 | Buy online at The Nile
Compressed Sensing for Engineers by Angshul Majumdar - ISBN: 9780815365563
Hardcover
The first portion of the book is on the algorithms. The second portion of the book is about applications, covering some of the major areas like computational imaging, medical imaging, biomedical signal processing and machine learning. The concentration of this book is on algorithms and applications.

Compressed Sensing for Engineers

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$567.72

  • Hardcover

    268 pages

  • Release Date

    3 December 2018

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Summary

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…

Book Details

ISBN-13:9780815365563
ISBN-10:081536556X
Author:Angshul Majumdar
Publisher:Taylor & Francis Inc
Imprint:CRC Press Inc
Format:Hardcover
Number of Pages:268
Release Date:3 December 2018
Weight:560g
Dimensions:156mm x 234mm
Series:Devices, Circuits, and Systems
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Compressed Sensing for Engineers by Angshul Majumdar - ISBN: 9780815365563
156 × 234 mm
A4
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About The Author

Angshul Majumdar

Angshul Majumdar is currently an assistant professor in Electronics and Communications Engineering at the Indraprastha Institute of Information Technology, Delhi (IIIT-D). He completed his PhD in 2012 from the University of British Columbia, Canada. His main contribution is in reducing acquisition time for Magnetic Resonance Imaging acquisition. He has around 25 papers on this topic published in top-tier journals and conferences. Angshul also works in other areas of biomedical imaging and signal processing. Previously, he was interested in the problem of classification and has published several papers on robust classification techniques with applications in face recognition, fingerprint recognition and optical character recognition. In all, Angshul has published over 50 papers in top-tier journals and conferences in the last 5 years. Before Angshul started in the academia, he worked in business consulting at the Pricewaterhouse Coopers.

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