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Wireless Communications and Mobile Computing
Volume 2017 (2017), Article ID 9823684, 10 pages
https://doi.org/10.1155/2017/9823684
Research Article

An Adaptive Joint Sparsity Recovery for Compressive Sensing Based EEG System

College of Engineering, Qatar University, P.O. Box 2713, Doha, Qatar

Correspondence should be addressed to Hamza Djelouat; aq.ude.uq@tauolejd.azmah

Received 28 July 2017; Revised 14 October 2017; Accepted 2 November 2017; Published 29 November 2017

Academic Editor: Gonzalo Vazquez-Vilar

Copyright © 2017 Hamza Djelouat et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Hamza Djelouat, Hamza Baali, Abbes Amira, and Faycal Bensaali, “An Adaptive Joint Sparsity Recovery for Compressive Sensing Based EEG System,” Wireless Communications and Mobile Computing, vol. 2017, Article ID 9823684, 10 pages, 2017. doi:10.1155/2017/9823684