75 citations to https://www.mathnet.ru/rus/mzm4183
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Naidu R.R., “Construction of Sparse Binary Sensing Matrices Using Set Systems”, Mathematical Analysis and its Applications, Springer Proceedings in Mathematics & Statistics, Springer Proceedings in Mathematics & Statistics, 143, eds. Agrawal P., Mohapatra R., Singh U., Srivastava H., Springer, 2015, 267–273
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Inna Kozlov, Alexander Petukhov, Handbook of Geomathematics, 2015, 2773
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Kueng R., Gross D., “Ripless Compressed Sensing From Anisotropic Measurements”, Linear Alg. Appl., 441:SI (2014), 110–123
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С. В. Конягин, Ю. В. Малыхин, К. С. Рютин, “О точном восстановлении разреженного вектора по линейным измерениям”, Матем. заметки, 94:1 (2013), 122–129 ; S. V. Konyagin, Yu. V. Malykhin, C. S. Rjutin, “On Exact Recovery of Sparse Vectors from Linear Measurements”, Math. Notes, 94:1 (2013), 107–114
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Donoho D.L., Javanmard A., Montanari A., “Information-Theoretically Optimal Compressed Sensing via Spatial Coupling and Approximate Message Passing”, IEEE Trans. Inf. Theory, 59:11 (2013), 7434–7464
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Inna Kozlov, Alexander Petukhov, Handbook of Geomathematics, 2013, 1
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Mikhail Malyutov, Lecture Notes in Computer Science, 7777, Information Theory, Combinatorics, and Search Theory, 2013, 609
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Mohammed Rostami, SpringerBriefs in Electrical and Computer Engineering, Compressed Sensing with Side Information on the Feasible Region, 2013, 9
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Simon Foucart, Holger Rauhut, Applied and Numerical Harmonic Analysis, A Mathematical Introduction to Compressive Sensing, 2013, 311
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Е. Д. Лившиц, “Об эффективности ортогонального жадного алгоритма в задаче о сжатых измерениях”, Матем. сб., 203:2 (2012), 33–44 ; E. D. Livshits, “On the efficiency of the Orthogonal Matching Pursuit in compressed sensing”, Sb. Math., 203:2 (2012), 183–195