- Ghassan Fadlallah, Djamal Rebaine, Hamid Mcheick, “A Greedy Scheduling Approach for Peripheral Mobile Intelligent Systems”, IoT, 2, № 2, 2021, 249
- Fangli Ning, Jingang Wei, Lianfang Qiu, Hongbing Shi, Xiaofan Li, “Three-dimensional acoustic imaging with planar microphone arrays and compressive sensing”, Journal of Sound and Vibration, 380, 2016, 112
- Wafaa A. Shalaby, Waleed Saad, Mona Shokair, Moawad Dessouky, “Efficient Parameters for Compressed Sensing Recovery Algorithms”, Wireless Pers Commun, 94, № 3, 2017, 1715
- Sergios Theodoridis, Machine Learning, 2020, 473
- Zhang Xin-Peng, Hu Niao-Qing, Cheng Zhe, Zhong Hua, “Vibration data recovery based on compressed sensing”, Acta Phys. Sin., 63, № 20, 2014, 200506
- PeiXin Ye, XiuJie Wei, “Efficiency of weak greedy algorithms for m-term approximations”, Sci. China Math., 59, № 4, 2016, 697
- L. Lovisolo, E.A.B. da Silva, M.A.M. Rodrigues, P.S.R. Diniz, “Efficient coherent adaptive representations of monitored electric signals in power systems using damped sinusoids”, IEEE Trans. Signal Process., 53, № 10, 2005, 3831
- Francisco Javier Muros, Jose Maria Maestre, Carlos Ocampo-Martinez, Encarnacion Algaba, Eduardo F. Camacho, “A Game Theoretical Randomized Method for Large-Scale Systems Partitioning”, IEEE Access, 6, 2018, 42245
- Miroslav Andrle, Laura Rebollo-Neira, “A swapping-based refinement of orthogonal matching pursuit strategies”, Signal Processing, 86, № 3, 2006, 480
- Cuiyun Lin, Tao Qian, “Frequency analysis with multiple kernels and complete dictionary”, Applied Mathematics and Computation, 466, 2024, 128477