1522 citations to 10.1109/TIT.2005.860430 (Crossref Cited-By Service)
  1. Dong Zhu, Jun Li, Gang Li, “RFI Source Localization in Microwave Interferometric Radiometry: A Sparse Signal Reconstruction Perspective”, IEEE Trans. Geosci. Remote Sensing, 58, № 6, 2020, 4006  crossref
  2. Alyson K. Fletcher, Sundeep Rangan, Vivek K Goyal, “Necessary and Sufficient Conditions for Sparsity Pattern Recovery”, IEEE Trans. Inform. Theory, 55, № 12, 2009, 5758  crossref
  3. Yuan Chang, Xiaojin Huang, Yi Hao, Chun-Wen Li, “Linear Representation and Sparse Solution for Transient Identification in Nuclear Power Plants”, IEEE Trans. Nucl. Sci., 60, № 1, 2013, 319  crossref
  4. Jerrad Hampton, Alireza Doostan, Handbook of Uncertainty Quantification, 2017, 827  crossref
  5. Hongyan Shi, Shaohua Xie, Jiangtao Wang, “Block sparse vector recovery for compressive sensing via ℓ1−αℓq$\ell _1-\alpha \ell _q$‐minimization Model”, Electronics Letters, 60, № 2, 2024, e13081  crossref
  6. HongXia Bu, Xia Bai, Ran Tao, “Compressed sensing SAR imaging based on sparse representation in fractional Fourier domain”, Sci. China Inf. Sci., 55, № 8, 2012, 1789  crossref
  7. Martin Haker, Thomas Martinetz, Erhardt Barth, 5769, Artificial Neural Networks – ICANN 2009, 2009, 923  crossref
  8. Ping-Keng Jao, Yi-Hsuan Yang, Brendt Wohlberg, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015, 236  crossref
  9. Zhen Liu, Xizhang Wei, Xiang Li, “Decoupled ISAR imaging using RSFW based on twice compressed sensing”, IEEE Trans. Aerosp. Electron. Syst., 50, № 4, 2014, 3195  crossref
  10. Hang Zhang, Afshin Abdi, Faramarz Fekri, “A General Compressive Sensing Construct Using Density Evolution”, IEEE Trans. Signal Process., 72, 2024, 203  crossref
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