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Lei Yu
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Sliding modes after the first decade of the 21st century
L Fridman, J Moreno, R Iriarte
Lecture notes in control and information sciences 412, 113-149, 2011
2492011
Compressive sensing with chaotic sequence
L Yu, JP Barbot, G Zheng, H Sun
IEEE Signal Processing Letters 17 (8), 731-734, 2010
2012010
Bayesian compressive sensing for cluster structured sparse signals
L Yu, H Sun, JP Barbot, G Zheng
Signal Processing, 2012
1992012
Compressive sensing for cluster structured sparse signals: variational bayes approach
L Yu, JP Barbot, G Zheng, H Sun
IET Signal Processing 10 (7), 770-779, 2016
672016
Compressive sensing matrix designed by tent map, for secure data transmission
M Frunzete, L Yu, JP Barbot, A Vlad
Signal Processing Algorithms, Architectures, Arrangements, and Applications …, 2011
442011
Toeplitz-structured chaotic sensing matrix for compressive sensing
L Yu, JP Barbot, G Zheng, H Sun
2010 7th International Symposium on Communication Systems, Networks …, 2010
422010
Model based Bayesian compressive sensing via local beta process
L Yu, H Sun, G Zheng, JP Barbot
Signal Processing 108, 259-271, 2015
372015
Dynamical sparse recovery with finite-time convergence
L Yu, G Zheng, JP Barbot
IEEE Transactions on Signal Processing 65 (23), 6146-6157, 2017
302017
Frequency estimation of multiple sinusoids with three sub-Nyquist channels
S Huang, H Zhang, H Sun, L Yu, L Chen
Signal Processing 139, 96-101, 2017
282017
Underdetermined blind separation of overlapped speech mixtures in time-frequency domain with estimated number of sources
H Zhang, G Hua, L Yu, Y Cai, G Bi
Speech Communication 89, 1-16, 2017
262017
从稀疏到结构化稀疏: 贝叶斯方法
孙洪, 张智林, 余磊
信号处理 28 (6), 759-773, 2012
242012
Event enhanced high-quality image recovery
B Wang, J He, L Yu, GS Xia, W Yang
European Conference on Computer Vision, 155-171, 2020
232020
Det: A high-resolution dvs dataset for lane extraction
W Cheng, H Luo, W Yang, L Yu, S Chen, W Li
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
212019
Cyber-attack reconstruction via sliding mode differentiation and sparse recovery algorithm: Electrical power networks application
S Nateghi, Y Shtessel, JP Barbot, G Zheng, L Yu
2018 15th International workshop on variable structure systems (VSS), 285-290, 2018
202018
Bayesian compressive sensing for clustered sparse signals
L Yu, H Sun, JP Barbot, G Zheng
2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011
202011
Iterative time-frequency filtering of sinusoidal signals with updated frequency estimation
H Zhang, L Yu, GS Xia
IEEE Signal Processing Letters 23 (1), 139-143, 2015
162015
Structured Bayesian learning for recovery of clustered sparse signal
L Wang, L Zhao, L Yu, J Wang, G Bi
Signal Processing 166, 107255, 2020
142020
Block-sparsity recovery via recurrent neural network
C Lyu, Z Liu, L Yu
Signal Processing 154, 129-135, 2019
142019
Observability forms for switched systems with zeno phenomenon or high switching frequency
L Yu, JP Barbot, D Boutat, D Benmerzouk
IEEE transactions on automatic control 56 (2), 436-441, 2010
132010
Robust motion compensation for event cameras with smooth constraint
J Xu, M Jiang, L Yu, W Yang, W Wang
IEEE Transactions on Computational Imaging 6, 604-614, 2020
122020
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