• 李林, 赵杭, 张文博, 韩俊宁. A low sidelobe virtual array beamforming optimization method for smart devices, IEEE Transactions on Consumer Electronics, 2026, Early Access.
• 闫续, 李林*, 蒋庆堂. Trainable synchrosqueezed chirplet transform for IF-crossover signals with very close chirp-rates, IEEE Signal Processing Letters, 2026(33): 1205 - 1209.
• 李水鑫, 陈杰成, 蒋庆堂, 李林. Time-reassigned synchrosqueezing frequency-domain chirplet transform for multicomponentsignals with intersecting group delay curves, Mechanical Systems and Signal Processing, 2026, 251: 114183.
• 李林, 京龙孟, 朱志刚, 臧博, 等. Specific emitter identification for open-set satellite TT&C signals based on multi-task learning. IEEE Transactions on Vehicular Technology, 2025, 75(2): 2356- 2368.
• 李诗瑶, 姬红兵, 李林*, 张毅. Satellite signal recognition based on deep approximate representation network. IEEE Wireless Communications and Networking Conference, Milan, Italy, March, 2025, pp.1-6.
• 李水鑫, 陈杰成, 蒋庆堂, 李林. Synchrosqueezed X-ray wavelet–chirplet transform for accurate chirp rate estimation anretrieval of modes from multicomponent signals with crossover instantaneous frequencies，Mechanical Systems and Signal Processing,2025, 238: 113193.
• 代传金, 秦培杰, 李林*, 臧博. CPU+GPU 并行加速的星链信号实时高精度频率估计算法设计与实现. 航空学报, 2025, 46(24): 332038.
• 张前程, 姬红兵, 李林, 朱志刚. Automatic modulation recognition of unknown interference signals based on graph model. IEEE Wireless Communications Letters, 2024, 13(9): 2317-2321.
• 顾博文, 李林*, 代传金, 臧博, 等. 基于低轨卫星OFDM信号侦测的隐蔽定位算法研究. 系统工程与电子技术, 2024, 46(12): 3957-3964.
• 朱志刚, 姬红兵, 李林*. Deep multi-modal subspace interactive mutual network for specific emitter identification. IEEE Transactions on Aerospace and Electronic Systems, 2023, 59(4): 4289-4300.
• 李林, 董智源, 朱志刚, 蒋庆堂. Deep-learning hopping capture model for automatic modulation classification of wireless communication signals. IEEE Transactions on Aerospace and Electronic Systems, 2023, 59(2): 772-783.
• 李林, 朱雅昕, 朱志刚. Automatic modulation classification using ResNeXt-GRU with deep feature fusion. IEEE Transactions on Instrumentation and Measurement, 2023, 72, 2519710.
• C.K. Chui, Q.T. Jiang, L. Li, and J. Lu, Analysis of a direct separation method based on adaptive chirplet transform for signals with crossover instantaneous frequencies, Applied and Computational Harmonic Analysis, vol. 62, Jan. 2023, 24-40.
• 朱志刚, 姬红兵, 张文博, 李林, 等. Complex convolutional neural network for signal representation and its application to radar emitter recognition. IEEE Communications Letters, 2023, 27(3): 856-860.
• 李林, 陈阳, 臧博, 江莉. A high-precision two-dimensional DOA estimation algorithm with parallel coprime array. Circuit, System and Signal Processing, 2022, 41: 6960-6974.
• 李林, 于小芮, 蒋庆堂, 臧博, 等. Synchrosqueezing transform meets α-stable distribution: An adaptive fractional lower-order SST for instantaneous frequency estimation and non-stationary signal recovery. Signal Processing, 2022, 201: 108683.
• 李林, 韩宁宁, 蒋庆堂, C.K. Chui. A chirplet transform-based mode retrieval method for multicomponent signals with crossover instantaneous frequencies. Digital Signal Processing, 2022, 120: 103262.
• 李林, C.K. Chui, 蒋庆堂. Direct signal separation via extraction of local frequencies with adaptive time-varying parameters. IEEE Transactions on Signal Processing, 2022, 70: 2321-2332.
• C.K. Chui, 蒋庆堂, 李林*, 鲁坚. Time-scale-chirp_rate operator for recovery of non-stationary signal components with crossover instantaneous frequency curves, Applied and Computational Harmonic Analysis, 2021, 54:323-344.
• C.K. Chui, 蒋庆堂, 李林*, 鲁坚. Analysis of an adaptive short-time Fourier transform-based multicomponent signal separation method derived from linear chirp local approximation, Journal of Computational and Applied Mathematics, 2021, 396:113607.
• C.K. Chui, 蒋庆堂, 李林, 鲁坚. Signal separation based on adaptive continuous wavelet-like transform and analysis, Applied and Computational Harmonic Analysis, 2021, 53: 151-179.
• H.Y. Cai, 蒋庆堂, 李林, B.W. Suter, Analysis of adaptive short-time Fourier transform-based synchrosqueezing transform, Analysis and Applications, 2021, 19:71-105.
• 李林, 余玉龙, 韩慧. 基于平行互质虚拟阵列的低复杂度二维DOA联合估计算法. 电子与信息学报, 2021, 43(6): 1653-1658.
• 鲁坚, 蒋庆堂, 李林. Analysis of adaptive synchrosqueezing transform with a time-varying parameter, Advances in Computational Mathematics, 2020, 46: 72.
• 李林, 王林, 韩红霞, 姬红兵, 等. 自适应时频同步压缩算法研究. 电子与信息学报, 2020, 42(2): 438-444.
• 李林, H.Y. Cai, 蒋庆堂. Adaptive synchrosqueezing transform with a time-varying parameter for non-stationary signal separation, Applied and Computational Harmonic Analysis, 2020, 49: 1075-1106.
• 李林, H.Y. Cai, 韩红霞, 蒋庆堂, 等. Adaptive short-time Fourier transform and synchrosqueezing transform for non-stationary signal separation, Signal Processing, 2020, 166: 107231.

Matlab Routines for Adaptive FSST

This is a collection of Matlab routines developed for the adaptive STFT, adaptive FSST and 2nd-order adaptive FSST described in the following paper:

Lin Li, Haiyan Cai, Hongxia Han, Qingtang Jiang, and Hongbing Ji, "Adaptive short-time Fourier transform and synchrosqueezing transform for non-stationary signal separation,"Signal Processing, 166 (2020), 107231.  Adaptive_FSST_May2_2018.pdf.

These routines are free, but WITHOUT any warranty, not yet optimized with respect to user interface, numerical stability and runtime efficiency.

Downloading Instructions:

1. Click here to download Toolbox_Adaptive_FSST_v1.zip.
2. Create a directory and unzip Toolbox_Adaptive_FSST_v1.zip.
3. Read README2.txt for using the routines.

Matlab Routines for Adaptive WSST

This is a collection of Matlab routines developed for the adaptive continuous wavelet transform, adaptive WSST and 2nd-order adaptive WSST described in the following paper:

Lin Li, Haiyan Cai, and Qingtang Jiang, "Adaptive synchrosqueezing transform with a time-varying parameter for non-stationary signal separation," Applied and Computational Harmonic Analysis, 49(3), (2020): 1075–1106. Adaptive_WSST_Apr16_2018.pdf

These routines are free, but WITHOUT any warranty, not yet optimized with respect to user interface, numerical stability and runtime efficiency.

Downloading Instructions:

1. Click here to download Toolbox_ASST_v1.zip.zip.
2. Create a directory and unzip Toolbox_ASST_v1.zip.
3. Read README2.txt for using the routines.

Matlab Routines for Adaptive ASSO

This is a collection of Matlab routines developed for the adaptive signal separation operation (ASSO) for effective and accurate separation of a single-channel blind source multi-component signals described in the following paper:

Lin Li, Charles K. Chui and Qingtang Jiang, "Direct Signal Separation via Extraction of Local Frequencies With Adaptive Time-Varying Parameters," IEEE Transactions on Signal Processing, vol. 70, pp. 2321-2333, 2022. ASSO_May10_2022.pdf

These routines are free, but WITHOUT any warranty, not yet optimized with respect to user interface, numerical stability and runtime efficiency.

Downloading Instructions:

1. Click here to download Toolbox_ASSO_v1.
2. Create a directory and unzip Toolbox_ASST_v1.zip.
3. Read README3.txt for using the routines.