167 citations to 10.1215/00127094-1384809 (Crossref Cited-By Service)
  1. Ivan Lau, Jonathan Jedwab, 2021 IEEE International Symposium on Information Theory (ISIT), 2021, 1612  crossref
  2. Shiunn-Jang Chern, Che-Wei Wu, Ching-Tang Hsieh, 2013 International Symposium on Intelligent Signal Processing and Communication Systems, 2013, 42  crossref
  3. Afonso S. Bandeira, Matthew Fickus, Dustin G. Mixon, Joel Moreira, “Derandomizing Restricted Isometries via the Legendre Symbol”, Constr Approx, 43, no. 3, 2016, 409  crossref
  4. Mohamad Mahdi Mohades, Mohammad Hossein Kahaei, “General approach for construction of deterministic compressive sensing matrices”, IET signal process., 13, no. 3, 2019, 321  crossref
  5. Shuxing Li, Gennian Ge, “Deterministic Sensing Matrices Arising From Near Orthogonal Systems”, IEEE Trans. Inform. Theory, 60, no. 4, 2014, 2291  crossref
  6. Gao You, Tong Fenghua, Zhang Xiaojuan, “Construction of compressed sensing matrixes based on the singular pseudo-symplectic space over finite fields”, The Journal of China Universities of Posts and Telecommunications, 23, no. 6, 2016, 82  crossref
  7. Oliver James, “Revisiting the RIP of Real and Complex Gaussian Sensing Matrices Through RIV Framework”, Wireless Pers Commun, 87, no. 2, 2016, 513  crossref
  8. Marcus Carlsson, Daniele Gerosa, Carl Olsson, “An Unbiased Approach to Low Rank Recovery”, SIAM J. Optim., 32, no. 4, 2022, 2969  crossref
  9. Gang Wang, Min-Yao Niu, Fang-Wei Fu, “Deterministic construction of compressed sensing matrices from constant dimension codes”, Discrete Applied Mathematics, 285, 2020, 9  crossref
  10. Wenfeng Zhao, Biao Sun, Tong Wu, Zhi Yang, “On-Chip Neural Data Compression Based On Compressed Sensing With Sparse Sensing Matrices”, IEEE Trans. Biomed. Circuits Syst., 12, no. 1, 2018, 242  crossref
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