349 citations to 10.1007/BF02124742 (Crossref Cited-By Service)
  1. Lisandro Lovisolo, Michel P. Tcheou, Eduardo A. B. da Silva, Marco A. M. Rodrigues, Paulo S. R. Diniz, “Modeling of Electric Disturbance Signals Using Damped Sinusoids via Atomic Decompositions and Its Applications”, EURASIP J. Adv. Signal Process., 2007, no. 1, 2007, 029507  crossref
  2. Y. Fadaei, M. Mohseni Moghadam, “A greedy sparse meshless method for solving heat conduction problems”, Engineering with Computers, 33, no. 3, 2017, 631  crossref
  3. Jonathan W. Siegel, Jinchao Xu, “Optimal Convergence Rates for the Orthogonal Greedy Algorithm”, IEEE Trans. Inform. Theory, 68, no. 5, 2022, 3354  crossref
  4. Tigran Grigoryan, Martin Grigoryan, N. Mastorakis, V. Mladenov, A. Bulucea, “On the representation of signals series by Faber-Schauder system”, MATEC Web Conf., 125, 2017, 05005  crossref
  5. Jing Nan, Wei Dai, Dianhui Wang, “Stochastic configuration networks with improved supervisory mechanism”, Information Sciences, 677, 2024, 120885  crossref
  6. Zi-Nan Wu, Zhan-Quan Li, You Dong, Xiao-Lei Han, Guoqiang Zhang, Ruiwei Feng, Kuanjun Zhu, “Seismic intensity measure selection incorporating interaction effects for damage assessment across different structural sensitive regions”, Structures, 67, 2024, 106917  crossref
  7. Fang Yang, Min Chen, Pengtao Li, Wei Qu, Jiecheng Chen, Tao Qian, “Sparse series solutions of random boundary and initial value problems”, Int. J. Wavelets Multiresolut Inf. Process., 22, no. 03, 2024, 2350050  crossref
  8. Stephan Dahlke, Gerd Teschke, “Some remarks on cone-adapted shearlets”, Int J Geomath, 15, no. 1, 2024, 12  crossref
  9. Lichao Feng, Xingya Wang, Shiyu Zhang, Zhihong Zhao, “DeepFeature: Guiding adversarial testing for deep neural network systems using robust features”, Journal of Systems and Software, 219, 2025, 112201  crossref
  10. Chitin Hon, Zige Liu, Tao Qian, Wei Qu, Jiman Zhao, “Trends by adaptive fourier decomposition and application in prediction”, Int. J. Wavelets Multiresolut Inf. Process., 22, no. 05, 2024, 2450014  crossref
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