1520 citations to 10.1109/TIT.2005.860430 (Crossref Cited-By Service)
  1. J. Bobin, Y. Moudden, J. Fadili, J.-L. Starck, “Morphological Diversity and Sparsity for Multichannel Data Restoration”, J Math Imaging Vis, 33, № 2, 2009, 149  crossref
  2. Keqing Duan, Weijian Liu, Guangqing Duan, Yongliang Wang, “Off‐grid effects mitigation exploiting knowledge of the clutter ridge for sparse recovery STAP”, IET Radar, Sonar & Navigation, 12, № 5, 2018, 557  crossref
  3. L Denis, D A Lorenz, D Trede, “Greedy solution of ill-posed problems: error bounds and exact inversion”, Inverse Problems, 25, № 11, 2009, 115017  crossref
  4. Lijuan Song, “Image Segmentation Based on Supervised Discriminative Learning”, Int. J. Patt. Recogn. Artif. Intell., 32, № 10, 2018, 1854027  crossref
  5. Marina Haikin, Ram Zamir, Matan Gavish, “Random subsets of structured deterministic frames have MANOVA spectra”, Proc. Natl. Acad. Sci. U.S.A., 114, № 26, 2017  crossref
  6. Shaohuan Zu, Hui Zhou, Rushan Wu, Weijian Mao, Yangkang Chen, “Hybrid-Sparsity Constrained Dictionary Learning for Iterative Deblending of Extremely Noisy Simultaneous-Source Data”, IEEE Trans. Geosci. Remote Sensing, 57, № 4, 2019, 2249  crossref
  7. Duc-Son Pham, Svetha Venkatesh, 2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008, 1  crossref
  8. Milad Karimshoushtari, Carlo Novara, Antonino Trotta, “Data-driven Model Predictive Control for Lean NO x Trap Regeneration * *This work has been carried out within the project “Experiment design in nonlinear system identification with application to automotive problems”, funded by General Motors Global Propulsion Systems.”, IFAC-PapersOnLine, 50, № 1, 2017, 6004  crossref
  9. Eitan Tadmor, Jing Zou, “Three Novel Edge Detection Methods for Incomplete and Noisy Spectral Data”, J Fourier Anal Appl, 14, № 5-6, 2008, 744  crossref
  10. Tong Zhang, “Sparse Recovery With Orthogonal Matching Pursuit Under RIP”, IEEE Trans. Inform. Theory, 57, № 9, 2011, 6215  crossref
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