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Mathematical Problems in Engineering
Volume 2018, Article ID 7171352, 15 pages
https://doi.org/10.1155/2018/7171352
Research Article

Content-Aware Compressive Sensing Recovery Using Laplacian Scale Mixture Priors and Side Information

1School of Electronic and Information Engineering, South China University of Technology, Guangzhou 510641, China
2School of Electronic and Information Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China

Correspondence should be addressed to Lihong Ma; nc.ude.tucs@amhlee

Received 10 August 2017; Revised 3 November 2017; Accepted 20 November 2017; Published 29 January 2018

Academic Editor: Raffaele Solimene

Copyright © 2018 Zhonghua Xie 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.

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