- Hanchao Wang, Lili Fang, Chuanfang Zhang, “A Robust Space-time Adaptive Processing Algorithm based on Particle Swarm Optimization for Non-stationary Clutter Suppression”, J. Phys.: Conf. Ser., 1802, № 3, 2021, 032145
- Giuseppe Patanè, “Multi-resolutive sparse approximations of d-dimensional data”, Computer Vision and Image Understanding, 117, № 4, 2013, 418
- Zhidan Liu, Zhenjiang Li, Mo Li, Wei Xing, Dongming Lu, “Mining Road Network Correlation for Traffic Estimation via Compressive Sensing”, IEEE Trans. Intell. Transport. Syst., 17, № 7, 2016, 1880
- Albert Fannjiang, “TV-min and greedy pursuit for constrained joint sparsity and application to inverse scattering”, Math. Mech. Compl. Sys., 1, № 1, 2013, 81
- Jinho Choi, Nam Yul Yu, 2016 International Conference on Information and Communication Technology Convergence (ICTC), 2016, 949
- Mohammad Emadi, Ehsan Miandji, Jonas Unger, “A Performance Guarantee for Orthogonal Matching Pursuit Using Mutual Coherence”, Circuits Syst Signal Process, 37, № 4, 2018, 1562
- Yaniv Romano, Harel Primack, Talya Vaknin, Idan Meirzada, Ilan Karpas, Dov Furman, Chene Tradonsky, Ruti Ben Shlomi, “Quantum sparse coding”, Quantum Mach. Intell., 6, № 1, 2024, 4
- Compressed Sensing in Li-Fi and Wi-Fi Networks, 2017, 231
- Kai Labusch, Erhardt Barth, Thomas Martinetz, “Robust and Fast Learning of Sparse Codes With Stochastic Gradient Descent”, IEEE J. Sel. Top. Signal Process., 5, № 5, 2011, 1048
- Tiefeng Jiang, Danning Li, “Approximation of Rectangular Beta-Laguerre Ensembles and Large Deviations”, J Theor Probab, 28, № 3, 2015, 804