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, no. 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, no. 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, no. 11, 2009, 115017  crossref
  4. Lijuan Song, “Image Segmentation Based on Supervised Discriminative Learning”, Int. J. Patt. Recogn. Artif. Intell., 32, no. 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, no. 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, no. 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, no. 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, no. 5-6, 2008, 744  crossref
  10. Tong Zhang, “Sparse Recovery With Orthogonal Matching Pursuit Under RIP”, IEEE Trans. Inform. Theory, 57, no. 9, 2011, 6215  crossref
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