A Mathematical Introduction to Compressive Sensing

A Mathematical Introduction to Compressive Sensing
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S. Foucart and H. Rauhut, A Mathematical Introduction to Compressive Sensing,. Applied and Numerical Harmonic Analysis, DOI / 1. At the intersection of mathematics, engineering, and computer science sits the thriving field of compressive sensing. Based on the premise that data acquisition .

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Mathematical Introduction to Compressive Sensing

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Based on the premise that data acquisition and compression can be performed simultaneously, compressive sensing finds applications in imaging, signal processing, and many other domains. Bernard Helffer. Landscapes of Time-Frequency Analysis. No, cancel Yes, report it Thanks! Computational Methods for Physicists. Compressed Sensing and Its Applications. The first chapter of this book provides a broad overview of compressive sensing.

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ISBN 13: 9781493900633

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Compressive Sensing

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Abstract At the intersection of mathematics, engineering, and computer science sits the thriving field of compressive sensing. Based on the premise that data acquisition and compression can be performed simultaneously, compressive sensing finds applications in imaging, signal processing, and many other domains. In the areas of applied mathematics, electrical engineering, and theoretical computer science, an explosion of research activity has already followed the theoretical results that highlighted the efficiency of the basic principles.