This comprehensive reference delivers the understanding and skills needed to take advantage of compressive sensing in wireless networks.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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.
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.
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