| A robust total least mean M-estimate adaptive algorithm for impulsive noise suppression L Li, H Zhao IEEE Transactions on Circuits and Systems II: Express Briefs 67 (4), 800-804, 2019 | 46 | 2019 |
| An enhanced fractional least mean square filter encountering the specific unknown system vector X Xie, YF Pu, L Li, J Wang IEEE Transactions on Circuits and Systems II: Express Briefs 69 (3), 1912-1916, 2021 | 25 | 2021 |
| Widely linear complex-valued least mean M-estimate algorithms: Design and performance analysis L Li, YF Pu Circuits, Systems, and Signal Processing 41 (10), 5785-5806, 2022 | 8 | 2022 |
| Distributed functional link adaptive filtering for nonlinear graph signal processing L Li, YF Pu, ZY Luo Digital Signal Processing 128, 103558, 2022 | 8 | 2022 |
| Diffusion recursive total least square algorithm over adaptive networks and performance analysis L Li, H Zhao, S Lv Signal Processing 182, 107954, 2021 | 8 | 2021 |
| Widely linear complex-valued hyperbolic secant adaptive filtering algorithm and its performance analysis L Li, YF Pu, SS Bhattacharjee, MG Christensen Signal Processing 212, 109146, 2023 | 3 | 2023 |
| A class of augmented complex-value FLANN adaptive algorithms for nonlinear systems ZY Luo, JL Zhou, YF Pu, L Li Neurocomputing 520, 331-341, 2023 | 3 | 2023 |
| Performance analysis of fractional-order adaptive filtering algorithm and its improvement L Li, YF Pu, X Xie IEEE Signal Processing Letters 29, 1853-1857, 2022 | 2 | 2022 |
| Zero attracting maximum total correntropy algorithm for sparse system identification L Li, H Zhao IFAC-PapersOnLine 52 (24), 103-106, 2019 | 2 | 2019 |
