167 citations to 10.1215/00127094-1384809 (Crossref Cited-By Service)
  1. Hui Zhang, Lizhi Cheng, “On the Constrained Minimal Singular Values for Sparse Signal Recovery”, IEEE Signal Process. Lett., 19, № 8, 2012, 499  crossref
  2. Fenghua Tong, Lixiang Li, Haipeng Peng, Dawei Zhao, “Progressive coherence and spectral norm minimization scheme for measurement matrices in compressed sensing”, Signal Processing, 194, 2022, 108435  crossref
  3. Yao Wang, Deyu Meng, Ming Yuan, “Sparse recovery: from vectors to tensors”, National Science Review, 5, № 5, 2018, 756  crossref
  4. Erfan Khordad, Iain B. Collings, Stephen V. Hanly, 2019 13th International Conference on Signal Processing and Communication Systems (ICSPCS), 2019, 1  crossref
  5. Zhiqiang Xu, “Deterministic sampling of sparse trigonometric polynomials”, Journal of Complexity, 27, № 2, 2011, 133  crossref
  6. Peijun Ye, Ding Wen, “Optimal Traffic Sensor Location for Origin–Destination Estimation Using a Compressed Sensing Framework”, IEEE Trans. Intell. Transport. Syst., 18, № 7, 2017, 1857  crossref
  7. Ali Mohades, Ali Akbar Tadaion, “Finite projective spaces in deterministic construction of measurement matrices”, IET signal process., 10, № 2, 2016, 168  crossref
  8. Lucia Morotti, “Explicit universal sampling sets in finite vector spaces”, Applied and Computational Harmonic Analysis, 43, № 2, 2017, 354  crossref
  9. Christopher J. Hillar, Friedrich T. Sommer, “When Can Dictionary Learning Uniquely Recover Sparse Data From Subsamples?”, IEEE Trans. Inform. Theory, 61, № 11, 2015, 6290  crossref
  10. Yingmo Jie, Mingchu Li, Cheng Guo, Bin Feng, Tingting Tang, “A new construction of compressed sensing matrices for signal processing via vector spaces over finite fields”, Multimed Tools Appl, 78, № 22, 2019, 31137  crossref
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