Shu-Tao Xia, Xin-Ji Liu, Yong Jiang, Hai-Tao Zheng, “Deterministic Constructions of Binary Measurement Matrices From Finite Geometry”, IEEE Trans. Signal Process., 63, № 4, 2015, 1017
Gang Wang, Min-Yao Niu, Fang-Wei Fu, “Deterministic constructions of compressed sensing matrices based on optimal codebooks and codes”, Applied Mathematics and Computation, 343, 2019, 128
Mark Magsino, Dustin G. Mixon, Hans Parshall, Yue M. Lu, Manos Papadakis, Dimitri Van De Ville, Wavelets and Sparsity XVIII, 2019, 52
Jing Liu, Mahendra Mallick, Feng Lian, ChongZhao Han, MingXing Sheng, XiangHua Yao, “General similar sensing matrix pursuit: An efficient and rigorous reconstruction algorithm to cope with deterministic sensing matrix with high coherence”, Signal Processing, 114, 2015, 150
Ozan Öktem, Handbook of Mathematical Methods in Imaging, 2015, 937
Stephan Antholzer, Christoph Wolf, Michael Sandbichler, Markus Dielacher, Markus Haltmeier, 2017 International Conference on Sampling Theory and Applications (SampTA), 2017, 556
Gitta Kutyniok, “Theory and applications of compressed sensing”, GAMM-Mitteilungen, 36, № 1, 2013, 79
Wei Dai, Olgica Milenkovic, Hoa Vin Pham, “Structured sublinear compressive sensing via belief propagation”, Physical Communication, 5, № 2, 2012, 76
Simone Brugiapaglia, Sjoerd Dirksen, Hans Christian Jung, Holger Rauhut, “Sparse recovery in bounded Riesz systems with applications to numerical methods for PDEs”, Applied and Computational Harmonic Analysis, 53, 2021, 231
Thu L. N. Nguyen, Yoan Shin, “Deterministic Sensing Matrices in Compressive Sensing: A Survey”, The Scientific World Journal, 2013, 2013, 1