Compressive sensing-based signal compression and recovery in UWB wireless communication system
Author:
Affiliation:
1. Department of Electrical Engineering; University of Texas at Arlington; Arlington TX 76019-0016 U.S.A.
2. College of Physics and Electronic Information; Tianjin Normal University; Tianjin 300387 China
Publisher
Wiley
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1002/wcm.2228/fullpdf
Reference15 articles.
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3. Compressive sensing;Baranuik;IEEE Signal Processing Magazine,2007
4. An introduction to compressive sensing;Candés;IEEE Signal Processing Magazine,2008
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