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Li Haifeng

доцент
PhD
Ключевые слова: RIP, sparse optimization, comprssed sensing.

Основные темы научной работы

Compressed sensing; sparse representation

   
Основные публикации:
  1. H. Li, J. Wen, J. Xian, J. Zhang, “Nearly optimal number of iterations for sparse signal recovery with orthogonal multi-matching pursuit”, Inverse Problem, 2021
  2. H. Li, J. Zhang, “A new sufficient condition for sparse recovery with multiple orthogonal least squares”, Acta Mathematica Scientia, English Series, 42B:3 (2022), 941-956
  3. H. Li, H. Ying, “An improved RIP based condition for support recovery with NR-AOMP in the presence of general perturbation”, Digital Signal Processing, 127 (2022), 103568
  4. H. Li, J. Zhang, “Required number of iterations for sparse signal recovery via orthogonal least squares”, Journal of Computational Mathematics, 41:1 (2023), 1-17

https://www.mathnet.ru/rus/person200237
Список публикаций на Google Scholar

Публикации в базе данных Math-Net.Ru Цитирования
2025
1. H. Li, L. Guo, “Theoretical analysis of weighted $\ell_{1}$ and $\ell_{1-2}$-minimization with multiple weighting sets”, Math. Notes, 118:1 (2025), 119–137  mathnet

Организации