Distributed Compressed Sensing via Generalized Approximate Message Passing for Jointly Sparse Signals-Reference-Cited by-同舟云学术

Distributed Compressed Sensing via Generalized Approximate Message Passing for Jointly Sparse Signals

Published:2019-04-01 Issue:4 Volume:E102.A Page:702-707
ISSN:0916-8508
Container-title:IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
language:en
Short-container-title:IEICE Trans. Fundamentals

Author:

SI Jingjing¹²,CHENG Yinbo³,LIU Kai¹²

Affiliation:

1. School of Information Engineering, Yanshan University

2. Hebei Key Laboratory of Information Transmission and Signal Processing

3. Ocean College of Hebei Agricultural University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Signal Processing

Link

https://www.jstage.jst.go.jp/article/transfun/E102.A/4/E102.A_702/_pdf

Reference15 articles.

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2. [2] D. Baron, M.F. Duarte, and S. Sarvotham, “An information-theorectic approach to distributed compressed sensing,” Proc. 43rd Allerton Conference on Communication, Control, and Computing, pp.814-825, Monticello, IL, Sept. 2005.

3. [3] D. Sundman, S. Chatterjee, and M. Skoglund, “Greedy pursuits for compressed sensing of jointly sparse signals,” Proc. 19th European Signal Processing Conference, pp.368-372, Barcelona, Spain, Aug. 2011.

4. [4] K. Huang and J. Liu. “Inner-outer support set pursuit for distributed compressed sensing,” IEEE Trans. Signal Process., vol.66, no.11, pp.3024-3039, Nov. 2018. 10.1109/tsp.2018.2813332

5. [5] G. Azarnia, M.A. Tinati, and T.Y. Rezaii. “Cooperative and distributed algorithm for compressed sensing recovery in WSNs,” IET Signal Process., vol.12, no.3, pp.346-357, March 2018. 10.1049/iet-spr.2017.0093