Open Access
MATEC Web Conf.
Volume 173, 2018
2018 International Conference on Smart Materials, Intelligent Manufacturing and Automation (SMIMA 2018)
Article Number 03073
Number of page(s) 5
Section Digital Signal and Image Processing
Published online 19 June 2018
  1. T. C. Xie, X. Y. Da and Z. Y. Chu, "An estimation algorithm of basis function synchronous paramenters of Transform Domain Communication Systems based on Frobenius Norm" Journal of Air Force Engineering University, vol. 15(1), Feb. 2014, pp. 57-61. [Google Scholar]
  2. S. G. Mallat and Z. Zhang, "Matching pursuits with time-frequency dictionaries" IEEE Transactions on Signal Processing, vol. 41(12), 1993, pp. 3397 - 3415. [Google Scholar]
  3. J. A. Tropp and A. C. Gilbert, "Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit" IEEE Transactions on Information Theory, vol. 53(12), 2007, pp. 4655-4666. [Google Scholar]
  4. D. Needell and J. A. Tropp, "CoSaMP: Iterative Signal Recovery From Incomplete and Inaccurate Samples" Applied & Computational Harmonic Analysis, vol. 26(3), 2009, pp. 301-321. [CrossRef] [Google Scholar]
  5. X. Y. Liu, Z. G. Zhao and H. X. Lv, "Double threshold Orthogonal Matching Pursuit algorithm" Computer Science, vol. 44, June. 2017, pp. 212-215. [Google Scholar]
  6. L. Y. Pei, H. Jiang and R. L. Ma, "Denoising recovery for compressive sensingbased on selective measure," Journal on Communications, vol. 38, February. 2017, pp. 106-114 . [Google Scholar]
  7. J. P. Tian, X. J. Liu and Y. P. Liu, "Multi-candidate Set of Generalized Orthogonal Matching Pursuit Algorithm" Journal of Applied Sciences, vol. 35(2), 2017, pp. 233-243. [Google Scholar]
  8. C. L. Gao and Q. H. Ren, "Study on MIMO-TDCS time-frequency compressed sensing feedback scheme" Semiconductor Optoelectronics, vol. 35 june. 2014, pp. 492-496. [Google Scholar]
  9. N. Li, Q. H. Ren and Y. Z. Su. "Constructive method of CS measurement matrix in TDCS" Computer Engineering & Design, vol. 38, Jan. 2017, pp. 7-11. [Google Scholar]
  10. Q. Li and X. Zhao, "Adaptive OMP Algorithm for Wideband Spectrum Sensing" Journal of Jilin University, vol. 33, Mar. 2015, pp. 113-119. [Google Scholar]
  11. A. M. Madni, "A systems perspective on compressed sensing and its use in reconstructing sparse networks" IEEE Systems Journal, vol. 8(1), 2014, pp. 23-27. [CrossRef] [Google Scholar]
  12. F. H. Fan and H. L. Ruan, "Non-convex compressive sensing ultra-wide band channel estimation method in low SNR conditions" Acta Electronica Sinica, vol. 42(2), Feb. 2014, pp. 353-359. [Google Scholar]
  13. Y. Chen and Z. Qin, "Gradient-based compressive image fusion" Frontiers of Information Technology & Electronic Engineering, vol.16(3), 2015, pp. 227-237. [CrossRef] [Google Scholar]
  14. J. S. Dong, J. Y. Yin and C. F. Li, "A gradient-based steering kernel reconstruction strategy for semi-random Fourier measurements in compressed remote sensing" Journal of Infrared & Millimeter Waves, vol. 34(6), 2015, pp. 673-679. [Google Scholar]
  15. J. Y. Zhuang, C. Qian and W. J. He, "Imaging through dynamic scattering media with compressed sensing" Acta Physica Sinica, vol. 65(4), 2016, pp. 22-31. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.