Compressed Sensing for Engineers
1st Edition
Published on 3. December 2018
Book
Hardback
268 pages
978-0-8153-6556-3 (ISBN)
Description
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
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
More details
Series
Language
English
Place of publication
Bosa Roca
United States
Publishing group
Taylor & Francis Inc
Target group
College/higher education
Product notice
sewn/stitched
Cloth over boards
Illustrations
30 s/w Zeichnungen, 2 s/w Tabellen
2 Tables, black and white; 30 Line drawings, black and white
Dimensions
Height: 163 mm
Width: 241 mm
Thickness: 22 mm
Weight
560 gr
ISBN-13
978-0-8153-6556-3 (9780815365563)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Angshul Majumdar
Compressed Sensing for Engineers
Book
06/2022
1st Edition
CRC Press
€86.90
Shipment within 10-20 days
Angshul Majumdar
Compressed Sensing for Engineers
E-Book
12/2018
CRC Press
€80.49
Available for download
Angshul Majumdar
Compressed Sensing for Engineers
E-Book
12/2018
1st Edition
CRC Press
€80.49
Available for download
Person
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.
Content
Introduction. Greedy Algorithms. Sparse Recovery. Co-sparse Recovery. Group Sparsity. Joint Sparsity. Low-rank Matrix Recovery. Combined Sparse and Low-rank Recovery. Dictionary Learning. Medical Imaging. Biomedical Signal Reconstruction. Regression. Classification. Computational Imaging. Denoising.