Zhu Han

Compressive Sensing for Wireless Networks (eBook, ePUB)

• Format: ePub

Produktbeschreibung

Compressive sensing is a new signal processing paradigm that aims to encode sparse signals by using far lower sampling rates than those in the traditional Nyquist approach. It helps acquire, store, fuse and process large data sets efficiently and accurately. This method, which links data acquisition, compression, dimensionality reduction and optimization, has attracted significant attention from researchers and engineers in various areas. This comprehensive reference develops a unified view on how to incorporate efficiently the idea of compressive sensing over assorted wireless network scenarios, interweaving concepts from signal processing, optimization, information theory, communications and networking to address the issues in question from an engineering perspective. It enables students, researchers and communications engineers to develop a working knowledge of compressive sensing, including background on the basics of compressive sensing theory, an understanding of its benefits and limitations, and the skills needed to take advantage of compressive sensing in wireless networks.

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Produktdetails

• Verlag: Cambridge University Press
• Erscheinungstermin: 6. Juni 2013
• Englisch
• ISBN-13: 9781107326804
• Artikelnr.: 39047191

Autorenporträt

Zhu Han is an Associate Professor in the Electrical and Computer Engineering Department at the University of Houston, Texas. He received an NSF CAREER award in 2010 and the IEEE Fred W. Ellersick Prize in 2011. He co-authored papers that won the best paper award at the IEEE International Conference on Communications 2009, the 7th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt09), and the IEEE Wireless Communication and Networking Conference, 2012.

Inhaltsangabe

1. Introduction
2. Overview of wireless networks
Part I. Compressive Sensing Techniques: 3. Compressive sensing framework
4. Sparse optimization algorithms
Part II. Compressive Sensing-Based Wireless Communication: 5. Analog to digital converter
6. Channel estimation
7. Ultra wide band
8. Positioning
9. Multiple access
10. Cognitive radio networks and sensor networks.