(35) Haifeng Li, Wengu Chen, An improved theoretical analysis of convolutional sparse coding using stripe coherence, Journal of Computational and Applied Mathematics, 2025, 469: 116631. (34) Haifeng Li, L. Guo, A new analysis for support recovery of OLS and OMP with partial support information, Circuits, Systems, and Signal Processing, 2025, 44: 3324–3346. (SCI) (33) Haifeng Li, L. Guo, Theroretical analysis for l1-l2 minimization with partial support information, Applications of Mathematics, 2025, 70: 125-148. (SCI)
(32) Haifeng Li, P. Wang, Theroretical analysis for support recovery with l1/lp based on mutual coherence, Discrete and Continuous Dynamical Systems - Series S, 2025, 18(3): 621-637. (SCI) (31) Haifeng Li, L. Guo, Theoretical analysis of GOMP based on RIP and ROC, Japan Journal of Industrial and Applied Mathematics, 2024, 41: 1277–1292. (SCI) (30) Haifeng Li, H. Ying, X. Liu, Binary generalized orthogonal matching pursuit, Japan Journal of Industrial and Applied Mathematics, 2023, 4: 1-12. (SCI) (29) Haifeng Li, and J. Zhang. Required number of iterations for sparse signal recovery via orthogonal least squares, Journal of Computational Mathematics, 2023, 41(1): 1-17, (SCI) (28) Haifeng Li, and H. Ying. The analysis of completely perturbed model based on RIP via orthogonal least squares, IET Signal Processing, 2022: 1-12. (SCI) (27) Haifeng Li, and Q. Chen. Analysis of non-negative block orthogonal matching pursuit, Wireless Personal Communications, 2022, 126: 1209-1222. (SCI) (26) Haifeng Li, and H. Ying. An improved RIP based condition for support recovery with NR-A*OMP in the presence of general perturbation, Digital Signal Processing, 2022, 127: 103568. (SCI) (25) Haifeng Li, and J. Zhang. A new sufficient condition for sparse recovery with multiple orthogonal least squares, Acta Mathematica Scientia, 2022, 42B(3): 941-956. (SCI) (24) Haifeng Li, J. Wen, J. Xian, and J. Zhang. Nearly optimal number of iterations for sparse signal recovery with orthogonal multi-matching pursuit, Inverse Problem, 2021, 37: 115007. (SCI) (23) J. Wen, and Haifeng Li. Binary sparse signal recovery with binary matching pursuit, Inverse Problem, 2021, 37: 065014. (SCI) 通訊作者. (22) 李海鋒,諶穩(wěn)固,溫金明. 噪聲干擾下m^2OLS算法的稀疏重構(gòu)理論研究, 中國科學(xué)(中文版),2021, 51(9): 1451-1460. 中文核心 (21) Haifeng Li, and W. Chen. RIP based condition for support recovery with A*OMP in the presence of noise, IET Signal Processing, 2020, 14: 307-313. (SCI) (20) Haifeng Li, Guoqi Liu, and Jian Zou, Sufficient condition for exact support recovery of sparse signals through greedy block coordinate descent, IET Signal Processing, 2019, 13(2), 176-182. (SCI) (19) Haifeng Li, Jinming Wen, Generalized covariance-assisted matching pursuit, Signal Processing, 2019, 163, 231-237. (SCI) (18) Haifeng Li, Jinming Wen, A new analysis for support recovery with block orthogonal matching pursuit, IEEE Signal Processing Letters, 2019, 26(2), 247-251. (SCI) (17) Haifeng Li, Jian Wang and Xin Yuan, On the Fundamental Limit of Multipath Matching Pursuit, IEEE Journal of Selected Topics in Signal Processing, 2018,12(5),916-917. (SCI) (16) Haifeng Li, Yingbin Ma and Yuli Fu, An improved RIP-based performance guarantee for sparse signal recovery via simultaneous orthogonal matching pursuit, Signal Processing, 2018, 144: 29-35. (SCI) (15) Haifeng Li, Jing Zhang and Jian Zou, Improving the bound on the RIP constant in multiple orthogonal least squares, IET Signal Processing, 2018, 666-671. (SCI) (14) Haifeng Li. Comment on “Strong recovery conditions for least support orthogonal matching pursuit in noisy case”, Electronics Letters. 2017, 53(10): 659-660. (SCI) (13) Haifeng Li and Guoqi Liu. Perturbation analysis of signal space fast iterative hard thresholding with redundant dictionaries, IET Signal Processing, 2017, 11(4): 462-468. (SCI) (12) Haifeng Li. The weighted minimization for partially known support, Wireless Personal Communications, 2016, 91(1): 255-265. (SCI) (11) Haifeng Li. Improved analysis of SP and CoSaMP under total perturbations, Eurasip Journal on Advances in Signal Processing, 2016, 112: 1-6. (SCI) (10) Haifeng Li, Yingbin Ma, WenAn Liu and Yuli Fu. Improved analysis of greedy block coordinate descent under RIP, Electronics Letters, 2015, 51(6): 488-490. (SCI) (9) Haifeng Li, Yuli Fu, Rui Hu and Rong Rong. Perturbation analysis of greedy block coordinate descent under RIP, IEEE Signal Processing Letters, 2014, 21(5): 518-522. (SCI) (8) Yuli Fu, Haifeng Li, Qiheng Zhang and Jian Zou. Block-sparse recovery via redundant block OMP, Signal Processing. 2014 , 97(4) : 162-171. (SCI) (7) Haifeng Li, Yuli Fu, Qiheng Zhang and Rong Rong. A generalized hard thresholding pursuit algorithm, Circuits, Systems, and Signal Processing, 2014, 33(4): 1313-1323. (SCI) (6) Haifeng Li, Rui Li and Bei Li. Block MMV for the reconstruction of multiband signals, Proceedings of the 34th Chinese Control Conference, 2015: 4523-4528. (EI) (5) Jian Zou, Yuli Fu, Qiheng Zhang and Haifeng Li. Split Bregman algorithms for multiple measurement vector problem, Multidimensional System Signal Processing, 2015, 26(1):207-224. (SCI) (4) Qiheng Zhang, Yuli Fu, Haifeng Li and Rong Rong. Optimised projections for generalised distributed compressed sensing, Electronics Letters, 2014, 50(7): 520-521. (SCI) (3) Qiheng Zhang, Yuli Fu, Haifeng Li and Rong Rong. Optimized projection matrix for compressed sensing, Circuits System and Signal Processing, 2014, 33(5): 1627-1636. (SCI) (2) Yuli Fu, Jian Zou, Qiheng Zhang and Haifeng Li. Recoverability analysis of block-sparse representation, Journal of Systems Engineering and Electronics, 2014, 25(3): 373-379. (SCI) (1) Qiheng Zhang, Yuli Fu, Haifeng Li and Jian Zou. Dictionary learning method for joint sparse representation-based image fusion, Optical Engineering, 2013, 52(5): 1-11. (SCI) |