- Entao Liu, Vladimir N. Temlyakov, “Super greedy type algorithms”, Adv Comput Math, 37, № 4, 2012, 493
- Jian Fang, Shaobo Lin, Zongben Xu, “Learning and approximation capabilities of orthogonal super greedy algorithm”, Knowledge-Based Systems, 95, 2016, 86
- K. T. Poumai, S. K. Kaushik, 2017 International Conference on Sampling Theory and Applications (SampTA), 2017, 212
- Paweł Bechler, Przemysław Wojtaszczyk, “Error Estimates for Orthogonal Matching Pursuit and Random Dictionaries”, Constr Approx, 33, № 2, 2011, 273
- Eugene D. Livshitz, Vladimir N. Temlyakov, “Sparse Approximation and Recovery by Greedy Algorithms”, IEEE Trans. Inform. Theory, 60, № 7, 2014, 3989
- Jingfan Long, Xiujie Wei, Peixin Ye, 2013 Ninth International Conference on Natural Computation (ICNC), 2013, 1408
- Paweł Bechler, “Existence of the best n-term approximants for structured dictionaries”, Arch. Math., 99, № 1, 2012, 61
- Wei Ma, Zhihui Xin, Guisheng Liao, Yu Sun, Zhixu Wang, Jiayu Xuan, “Sub‐region non‐local mean denoising algorithm of synthetic aperture radar images based on statistical characteristics”, IET Image Processing, 16, № 10, 2022, 2665
- Jean Bourgain, Stephen J. Dilworth, Kevin Ford, Sergei V. Konyagin, Denka Kutzarova, Proceedings of the forty-third annual ACM symposium on Theory of computing, 2011, 637
- Evgenii D Livshits, “On the efficiency of the Orthogonal Matching Pursuit in compressed sensing”, Sb. Math., 203, № 2, 2012, 183