Haiquan Zhao
Haiquan Zhao
Professor of School of Electrical Engineering, Southwest Jiaotong University
Verified email at - Homepage
Cited by
Cited by
Maximum correntropy Kalman filter
B Chen, X Liu, H Zhao, JC Principe
Automatica 76, 70-77, 2017
Generalized correntropy for robust adaptive filtering
B Chen, L Xing, H Zhao, N Zheng, JC Prı
IEEE Transactions on Signal Processing 64 (13), 3376-3387, 2016
Convergence of a fixed-point algorithm under maximum correntropy criterion
B Chen, J Wang, H Zhao, N Zheng, JC Principe
IEEE Signal Processing Letters 22 (10), 1723-1727, 2015
Distributed online one-class support vector machine for anomaly detection over networks
X Miao, Y Liu, H Zhao, C Li
IEEE transactions on cybernetics 49 (4), 1475-1488, 2018
Kernel risk-sensitive loss: definition, properties and application to robust adaptive filtering
B Chen, L Xing, B Xu, H Zhao, N Zheng, JC Principe
IEEE Transactions on Signal Processing 65 (11), 2888-2901, 2017
Diffusion maximum correntropy criterion algorithms for robust distributed estimation
W Ma, B Chen, J Duan, H Zhao
Digital Signal Processing 58, 10-19, 2016
Adaptive reduced feedback FLNN filter for active control of nonlinear noise processes
H Zhao, X Zeng, J Zhang
Signal Processing 90 (3), 834-847, 2010
Adaptively combined FIR and functional link artificial neural network equalizer for nonlinear communication channel
H Zhao, J Zhang
IEEE Transactions on Neural Networks 20 (4), 665-674, 2009
Functional link neural network cascaded with Chebyshev orthogonal polynomial for nonlinear channel equalization
H Zhao, J Zhang
Signal processing 88 (8), 1946-1957, 2008
Robust generalized maximum correntropy criterion algorithms for active noise control
Y Zhu, H Zhao, X Zeng, B Chen
IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 1282-1292, 2020
Robust Hammerstein adaptive filtering under maximum correntropy criterion
Z Wu, S Peng, B Chen, H Zhao
Entropy 17 (10), 7149-7166, 2015
Active impulsive noise control using maximum correntropy with adaptive kernel size
L Lu, H Zhao
Mechanical Systems and Signal Processing 87, 180-191, 2017
Robust distributed diffusion recursive least squares algorithms with side information for adaptive networks
Y Yu, H Zhao, RC de Lamare, Y Zakharov, L Lu
IEEE Transactions on Signal Processing 67 (6), 1566-1581, 2019
Robust kernel adaptive filters based on mean p-power error for noisy chaotic time series prediction
W Ma, J Duan, W Man, H Zhao, B Chen
Engineering Applications of Artificial Intelligence 58, 101-110, 2017
Insights into the robustness of minimum error entropy estimation
B Chen, L Xing, B Xu, H Zhao, JC Principe
IEEE transactions on neural networks and learning systems 29 (3), 731-737, 2016
Improved-variable-forgetting-factor recursive algorithm based on the logarithmic cost for Volterra system identification
L Lu, H Zhao, B Chen
IEEE Transactions on Circuits and Systems II: Express Briefs 63 (6), 588-592, 2016
Identification of nonlinear dynamic system using a novel recurrent wavelet neural network based on the pipelined architecture
H Zhao, S Gao, Z He, X Zeng, W Jin, T Li
IEEE Transactions on Industrial Electronics 61 (8), 4171-4182, 2013
Maximum correntropy Kalman filter with state constraints
X Liu, B Chen, H Zhao, J Qin, J Cao
IEEE access 5, 25846-25853, 2017
Low-complexity nonlinear adaptive filter based on a pipelined bilinear recurrent neural network
H Zhao, X Zeng, Z He
IEEE Transactions on Neural Networks 22 (9), 1494-1507, 2011
Adaptive Volterra filter with continuous lp-norm using a logarithmic cost for nonlinear active noise control
L Lu, H Zhao
Journal of Sound and Vibration 364, 14-29, 2016
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