A Two-Stage Fusing Method of Reconstruction Algorithms for Compressed Sensing-Reference-Cited by-同舟云学术

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A Two-Stage Fusing Method of Reconstruction Algorithms for Compressed Sensing

Published:2018-08-07 Issue:4 Volume:25 Page:480-487
ISSN:1068-9605
Container-title:International Journal of Wireless Information Networks
language:en
Short-container-title:Int J Wireless Inf Networks

Author:

Xu Yi,Sun Guiling^ORCID,Geng Tianyu,Zhang Ying

Funder

the National Nature Science Foundation of China

Tianjin Key Laboratory of Optoelectronic Sensor and Sensing Network Technology

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture

Link

http://link.springer.com/article/10.1007/s10776-018-0409-0/fulltext.html

Reference28 articles.

1. D. L. Donoho, Compressed sensing, IEEE Transactions on Information Theory, Vol. 52, pp. 1289–1306, 2006.

2. E. J. Candes and T. Tao, Near-optimal signal recovery from random projections: Universal encoding strategies?, IEEE Transactions on Information Theory, Vol. 52, pp. 5406–5425, 2006.

3. E. P. K. Gilbert, B. Kaliaperumal, E. B. Rajsingh, and M. Lydia, Trust based data prediction, aggregation and reconstruction using compressed sensing for clustered wireless sensor networks, Computers & Electrical Engineering, 2018.

4. S. Xiao, T. Li, Y. Yan, et al., Cluster Comput, 2018. https://doi.org/10.1007/s10586-018-2259-z .

5. A. Maleki and D. L. Donoho, Optimally tuned iterative reconstruction algorithms for compressed sensing, IEEE Journal of Selected Topics in Signal Processing, Vol. 4, pp. 330–341, 2010.

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