Compressive Sensing: Methods and Applications

Raymond Matthews (Editor)

Series: Computer Science, Technology and Applications
BISAC: COM014000



Volume 10

Issue 1

Volume 2

Volume 3

Special issue: Resilience in breaking the cycle of children’s environmental health disparities
Edited by I Leslie Rubin, Robert J Geller, Abby Mutic, Benjamin A Gitterman, Nathan Mutic, Wayne Garfinkel, Claire D Coles, Kurt Martinuzzi, and Joav Merrick


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In this compilation, the authors analyze various methods of routing used in compressive sensing-based data gathering for wireless sensor networks, comparing and contrasting each method in terms of energy consumption and network lifetime.

The main approaches used to apply compressive sensing algorithms in two microwave imaging methods, synthetic aperture radars and metamaterial antenna-based apertures, are presented.

The digital algorithms for detecting and estimating ultra-short pulse parameters based on the compressive sensing theory are investigated. In addition, a simple algorithm which is not based on the linear programming methods is considered, providing acceptable efficiency for processing ultra-short pulses.
(Imprint: Novinka)


Chapter 1. Compressive Sensing in Wireless Sensor Networks
(Utkarsha S. Pacharaney and Rajiv Kumar Gupta, Department of Electronics and Telecommunication, University of Mumbai, India)

Chapter 2. Compressive Sensing in Microwave Imaging: Synthetic and Metamaterial Apertures
(Andrei Anghel, Department of Telecommunications, Faculty of Electronics, Telecommunications and Information Technology, University Politehnica of Bucharest, Bucharest, Romania)

Chapter 3. Detection and Parameter Estimation of Ultra-Short Pulse Based on the Compressive Sensing Theory
(Vladimir I. Parfenov, Department of Physics, Voronezh State University, Voronezh, Russia)


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