Compressive Sensing for Wireless Networks
$288.40
- Hardcover
304 pages
- Release Date
6 June 2013
Summary
Harnessing Sparsity: Compressive Sensing for Efficient Wireless Networks
Compressive sensing is a revolutionary signal processing technique that allows for the encoding of sparse signals at significantly lower sampling rates than traditional methods. This approach enables efficient acquisition, storage, fusion, and processing of large datasets with accuracy. By merging data acquisition, compression, dimensionality reduction, and optimization, compressive sensing has become a focal p…
Book Details
| ISBN-13: | 9781107018839 |
|---|---|
| ISBN-10: | 1107018838 |
| Author: | Zhu Han, Husheng Li, Wotao Yin |
| Publisher: | Cambridge University Press |
| Imprint: | Cambridge University Press |
| Format: | Hardcover |
| Number of Pages: | 304 |
| Release Date: | 6 June 2013 |
| Weight: | 790g |
| Dimensions: | 253mm x 180mm x 20mm |
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About The Author
Zhu Han
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.
Husheng Li is an Assistant Professor in the Electrical and Computer Engineering Department at the University of Tennessee. He received the Best Paper Award of the EURASIP Journal on Wireless Communications and Networking in 2005, the Best Demo Award of IEEE Globecom in 2010, and the Best Paper Award at IEEE ICC in 2011.
Wotao Yin is an Associate Professor at the Department of Computational and Applied Mathematics at Rice University. He won an NSF CAREER award in 2008 and an Alfred P. Sloan Research Fellowship in 2009.
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