Compressed Sensing For Engineers

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Compressed Sensing for Engineers
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Authors: Angshul Majumdar
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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 imme
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Compressed sensing is a relatively recent area of research that refers to the recovery of high-dimensional but low-complexity objects from a limited number of m
A Mathematical Introduction to Compressive Sensing
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At the intersection of mathematics, engineering, and computer science sits the thriving field of compressive sensing. Based on the premise that data acquisition
Compressed Sensing & Sparse Filtering
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This book is aimed at presenting concepts, methods and algorithms ableto cope with undersampled and limited data. One such trend that recently gained popularity
Compressed Sensing Magnetic Resonance Image Reconstruction Algorithms
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This book presents a comprehensive review of the recent developments in fast L1-norm regularization-based compressed sensing (CS) magnetic resonance image recon