(33) Haifeng Li, L. Guo, Theroretical analysis for l1-l2 minimization with partial support information, Applications of Mathematics, 2024, online, (SCI) (32) 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) (31) Haifeng Li, P. Wang, Theroretical analysis for support recovery with l1/lp based on mutual coherence, Discrete and Continuous Dynamical Systems - Series S, 2024, 4: 1-17. (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) |
