Adaptive short-time Fourier transform and synchrosqueezing transform for non-stationary signal separation L Li, H Cai, H Han, Q Jiang, H Ji Signal Processing 166, 107231, 2020 | 160 | 2020 |
Signal feature extraction based on an improved EMD method L Lin, J Hongbing Measurement 42 (5), 796-803, 2009 | 143 | 2009 |
The influence of flywheel micro vibration on space camera and vibration suppression L Li, L Tan, L Kong, D Wang, H Yang Mechanical Systems and Signal Processing 100, 360-370, 2018 | 104 | 2018 |
Adaptive synchrosqueezing transform with a time-varying parameter for non-stationary signal separation L Li, H Cai, Q Jiang Applied and Computational Harmonic Analysis 49 (3), 1075-1106, 2020 | 69 | 2020 |
Quadratic time–frequency analysis and sequential recognition for specific emitter identification L Li, HB Ji, L Jiang IET signal processing 5 (6), 568-574, 2011 | 67 | 2011 |
A chirplet transform-based mode retrieval method for multicomponent signals with crossover instantaneous frequencies L Li, N Han, Q Jiang, CK Chui Digital Signal Processing 120, 103262, 2022 | 33 | 2022 |
An empirical signal separation algorithm for multicomponent signals based on linear time-frequency analysis L Li, H Cai, Q Jiang, H Ji Mechanical Systems and Signal Processing 121, 791-809, 2019 | 31 | 2019 |
Radar emitter recognition based on cyclostationary signatures and sequential iterative least-square estimation L Li, H Ji Expert Systems with Applications 38 (3), 2140-2147, 2011 | 30 | 2011 |
Analysis of an adaptive short-time Fourier transform-based multicomponent signal separation method derived from linear chirp local approximation CK Chui, Q Jiang, L Li, J Lu Journal of Computational and Applied Mathematics 396, 113607, 2021 | 29 | 2021 |
Time-scale-chirp_rate operator for recovery of non-stationary signal components with crossover instantaneous frequency curves CK Chui, Q Jiang, L Li, J Lu Applied and Computational Harmonic Analysis 54, 323-344, 2021 | 27 | 2021 |
Analysis of adaptive short-time Fourier transform-based synchrosqueezing transform H Cai, Q Jiang, L Li, BW Suter Analysis and Applications 19 (01), 71-105, 2021 | 27 | 2021 |
Deep-learning hopping capture model for automatic modulation classification of wireless communication signals L Li, Z Dong, Z Zhu, Q Jiang IEEE Transactions on Aerospace and Electronic Systems 59 (2), 772-783, 2022 | 22 | 2022 |
Direct signal separation via extraction of local frequencies with adaptive time-varying parameters L Li, CK Chui, Q Jiang IEEE Transactions on Signal Processing 70, 2321-2333, 2022 | 22 | 2022 |
Polyphase coded low probability of intercept signals detection and estimation using time–frequency rate distribution L Jiang, L Li, G Zhao IET Signal Processing 10 (1), 46-54, 2016 | 22 | 2016 |
Analysis of adaptive synchrosqueezing transform with a time-varying parameter J Lu, Q Jiang, L Li Advances in Computational Mathematics 46 (5), 72, 2020 | 20 | 2020 |
Signal separation based on adaptive continuous wavelet-like transform and analysis CK Chui, Q Jiang, L Li, J Lu Applied and computational harmonic analysis 53, 151-179, 2021 | 19 | 2021 |
Specific radar emitter recognition based on wavelet packet transform and probabilistic SVM L Li, H Ji, L Wang 2009 International Conference on Information and Automation, 1308-1313, 2009 | 19 | 2009 |
Automatic modulation classification using ResNeXt-GRU with deep feature fusion L Li, Y Zhu, Z Zhu IEEE Transactions on Instrumentation and Measurement, 2023 | 18 | 2023 |
Deep multimodal subspace interactive mutual network for specific emitter identification Z Zhu, H Ji, L Li IEEE Transactions on Aerospace and Electronic Systems 59 (4), 4289-4300, 2023 | 15 | 2023 |
Recognition of polyphase coded signals using time-frequency rate distribution L Li, L Jiang 2014 IEEE workshop on statistical signal processing (SSP), 484-487, 2014 | 15 | 2014 |