1522 citations to 10.1109/TIT.2005.860430 (Crossref Cited-By Service)
  1. Li Zhang, Weida Zhou, Bangjun Wang, Zhao Zhang, Fanzhang Li, “Applying 1-norm SVM with squared loss to gene selection for cancer classification”, Appl Intell, 48, № 7, 2018, 1878  crossref
  2. Huihui Li, Yan Zeng, Ning Yang, “Image reconstruction for compressed sensing based on joint sparse bases and adaptive sampling”, Machine Vision and Applications, 29, № 1, 2018, 145  crossref
  3. Jiadong Yu, Xiaolan Liu, Haoran Qi, Wei Zhang, Yue Gao, 2019 IEEE Global Communications Conference (GLOBECOM), 2019, 1  crossref
  4. Mohammad Reza Ghaderi, Vahid Tabataba Vakili, Mansour Sheikhan, “Compressive sensing-based energy consumption model for data gathering techniques in wireless sensor networks”, Telecommun Syst, 77, № 1, 2021, 83  crossref
  5. S. Bourguignon, H. Carfantan, T. Böhm, “SparSpec: a new method for fitting multiple sinusoids with irregularly sampled data”, A&A, 462, № 1, 2007, 379  crossref
  6. Weike Feng, YongShun Zhang, YiDuo Guo, XingYu He, “2D OMP algorithm for space–time parameters estimation of moving targets”, Electron. lett., 51, № 22, 2015, 1809  crossref
  7. RuiZhen Zhao, XiaoYu Liu, Ching-Chung Li, Robert J. Sclabassi, MinGui Sun, “Wavelet denoising via sparse representation”, Sci. China Ser. F-Inf. Sci., 52, № 8, 2009, 1371  crossref
  8. K. Labusch, E. Barth, T. Martinetz, “Simple Method for High-Performance Digit Recognition Based on Sparse Coding”, IEEE Trans. Neural Netw., 19, № 11, 2008, 1985  crossref
  9. Yong Jin, Hong‐ying Li, Dan‐dan Zhang, Jing Wu, Maozhen Li, “Compressive tracking combined with sample weights and adaptive learning factor”, Concurrency and Computation, 30, № 23, 2018, e4398  crossref
  10. Zhaohai Meng, “3D inversion of full gravity gradient tensor data using SL0 sparse recovery”, Journal of Applied Geophysics, 127, 2016, 112  crossref
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