Sparse signal recovery with OMP algorithm using sensing measurement matrix-Reference-Cited by-同舟云学术

Sparse signal recovery with OMP algorithm using sensing measurement matrix

Published:2011 Issue:5 Volume:8 Page:285-290
ISSN:1349-2543
Container-title:IEICE Electronics Express
language:en
Short-container-title:IEICE Electron. Express

Author:

Gui Guan¹²,Mehbodniya Abolfazl²,Wan Qun¹,Adachi Fumiyuki²

Affiliation:

1. Department of Electronic Engineering, University of Electronic Science and Technology of China

2. Department of Electrical and Communication Engineering, Graduate School of Engineering, Tohoku University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Electrical and Electronic Engineering,Condensed Matter Physics,Electronic, Optical and Magnetic Materials

Link

http://www.jstage.jst.go.jp/article/elex/8/5/8_5_285/_pdf

Reference9 articles.

1. [1] Z. G. Karabulut and A. Yongacoglu, “Sparse channel estimation using orthogonal matching pursuit algorithm,” 2004 IEEE 60th Vehicular Technology Conference, vol. 60, no. 6, pp. 3880-3884, 2004.

2. [2] G. Gui, Q. Wan, W. Peng, and F. Adachi, “Sparse Multipath Channel Estimation Using Compressive Sampling Matching Pursuit Algorithm,” IEEE VTS APWCS2010, 19-22, May 2010.

3. [3] E. J. Cands, “The restricted isometry property and its implications for compressed sensing,” Comptes Rendus Mathematique, vol. 346 no. 9-10, pp. 589-592, May 2008.

4. Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit

5. [5] T. Cai and L. Wang, “Orthogonal matching pursuit for sparse signal recovery,” Technical Report., 2010.

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