1522 citations to 10.1109/TIT.2005.860430 (Crossref Cited-By Service)
  1. George Papageorgiou, Pantelis Bouboulis, Sergios Theodoridis, “Robust Linear Regression Analysis— A Greedy Approach”, IEEE Trans. Signal Process., 63, no. 15, 2015, 3872  crossref
  2. John D. Jakeman, Akil Narayan, Tao Zhou, “A Generalized Sampling and Preconditioning Scheme for Sparse Approximation of Polynomial Chaos Expansions”, SIAM J. Sci. Comput., 39, no. 3, 2017, A1114  crossref
  3. Yu Lu, Huahua Chen, 2011 4th International Conference on Biomedical Engineering and Informatics (BMEI), 2011, 347  crossref
  4. Y. Isaac, Q. Barthélemy, C. Gouy-Pailler, M. Sebag, J. Atif, “Multi-dimensional signal approximation with sparse structured priors using split Bregman iterations”, Signal Processing, 130, 2017, 389  crossref
  5. Buxian Chen, Anhua Wan, “General RIP bounds of δ for sparse signals recovery by ℓ minimization”, Neurocomputing, 363, 2019, 306  crossref
  6. Yiduo Guo, Guisheng Liao, Jian Gong, Darong Huang, “Sparse recovery-based STAP method using prior information of azimuth-elevation”, J. Appl. Remote Sens, 11, no. 3, 2017, 035004  crossref
  7. Adel Javanmard, Andrea Montanari, “Debiasing the lasso: Optimal sample size for Gaussian designs”, Ann. Statist., 46, no. 6A, 2018  crossref
  8. Jie Chen, Xiaoming Huo, “Theoretical Results on Sparse Representations of Multiple-Measurement Vectors”, IEEE Trans. Signal Process., 54, no. 12, 2006, 4634  crossref
  9. C. Novara, N. Mohammad Pour, T. Vincent, G. Grassi, “A Nonlinear Blind Identification Approach to Modeling of Diabetic Patients”, IEEE Trans. Contr. Syst. Technol., 24, no. 3, 2016, 1092  crossref
  10. JingYu Yang, YiGang Peng, WenLi Xu, QiongHai Dai, “Ways to sparse representation: An overview”, Sci. China Ser. F-Inf. Sci., 52, no. 4, 2009, 695  crossref
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