Compressed Sensing for Engineers by Angshul Majumdar (Hardcover, 2018)

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Author: Angshul Majumdar ISBN 10: 081536556X. Title: Compressed Sensing for Engineers (Devices, Circuits, and Systems Item Condition: New. Used-like N : The book pretty much look like a new book. There will be no stains or markings on the book, the cover is clean and crisp, the book will look unread, the only marks there may be are slight bumping marks to the edges of the book where it may have been on a shelf previously. ).

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Product Information

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

Product Identifiers

PublisherTaylor & Francis INC International Concepts
ISBN-139780815365563
eBay Product ID (ePID)2317640131

Product Key Features

Number of Pages268 Pages
LanguageEnglish
Publication NameCompressed Sensing for Engineers
Publication Year2018
SubjectEngineering & Technology
TypeTextbook
AuthorAngshul Majumdar
SeriesDevices, Circuits, and Systems
FormatHardcover

Dimensions

Item Height234 mm
Item Weight680 g
Item Width156 mm

Additional Product Features

Country/Region of ManufactureUnited States
Title_AuthorAngshul Majumdar

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