Segui
C.Q. Chang
C.Q. Chang
Professor, School of Biomedical Engineering, Shenzhen University
Email verificata su szu.edu.cn
Titolo
Citata da
Citata da
Anno
Root sparse Bayesian learning for off-grid DOA estimation
J Dai, X Bao, W Xu, C Chang
IEEE Signal Processing Letters 24 (1), 46-50, 2016
2172016
China’s language input system in the digital age affects children’s reading development
LH Tan, M Xu, CQ Chang, WT Siok
Proceedings of the National Academy of Sciences 110 (3), 1119-1123, 2013
1542013
Distinct distributed patterns of neural activity are associated with two languages in the bilingual brain
M Xu, D Baldauf, CQ Chang, R Desimone, LH Tan
Science advances 3 (7), e1603309, 2017
1272017
A matrix-pencil approach to blind separation of colored nonstationary signals
C Chang, Z Ding, SF Yau, FHY Chan
IEEE Transactions on Signal Processing 48 (3), 900-907, 2000
1212000
Fast network component analysis (FastNCA) for gene regulatory network reconstruction from microarray data
C Chang, Z Ding, YS Hung, PCW Fung
Bioinformatics 24 (11), 1349-1358, 2008
1012008
Automatic correction of artifact from single-trial event-related potentials by blind source separation using second order statistics only
KH Ting, PCW Fung, CQ Chang, FHY Chan
Medical engineering & physics 28 (8), 780-794, 2006
932006
A recursive RARE algorithm for DOA estimation with unknown mutual coupling
J Dai, X Bao, N Hu, C Chang, W Xu
IEEE Antennas and Wireless Propagation Letters 13, 1593-1596, 2014
902014
Entrainment of chaotic activities in brain and heart during MBSR mindfulness training
J Gao, J Fan, BWY Wu, Z Zhang, C Chang, YS Hung, PCW Fung, ...
Neuroscience letters 616, 218-223, 2016
792016
A deflation approach to direction of arrival estimation for symmetric uniform linear array
X Xu, Z Ye, Y Zhang, C Chang
IEEE Antennas and Wireless Propagation Letters 5 (1), 486-489, 2006
792006
GP-GAN: Brain tumor growth prediction using stacked 3D generative adversarial networks from longitudinal MR Images
A Elazab, C Wang, SJS Gardezi, H Bai, Q Hu, T Wang, C Chang, B Lei
Neural Networks 132, 321-332, 2020
752020
Order statistics correlation coefficient as a novel association measurement with applications to biosignal analysis
W Xu, C Chang, YS Hung, SK Kwan, PCW Fung
IEEE Transactions on Signal Processing 55 (12), 5552-5563, 2007
652007
Different patterns and development characteristics of processing written logographic characters and alphabetic words: An ALE meta‐analysis
L Zhu, Y Nie, C Chang, JH Gao, Z Niu
Human Brain Mapping 35 (6), 2607-2618, 2014
602014
A prediction approach for multichannel EEG signals modeling using local wavelet SVM
M Shen, L Lin, J Chen, CQ Chang
IEEE transactions on instrumentation and measurement 59 (5), 1485-1492, 2010
522010
Underdetermined DOA estimation method for wideband signals using joint nonnegative sparse Bayesian learning
N Hu, B Sun, Y Zhang, J Dai, J Wang, C Chang
IEEE Signal Processing Letters 24 (5), 535-539, 2017
502017
Asymptotic properties of order statistics correlation coefficient in the normal cases
W Xu, C Chang, YS Hung, PCW Fung
IEEE Transactions on Signal Processing 56 (6), 2239-2248, 2008
482008
Real-time data-reusing adaptive learning of a radial basis function network for tracking evoked potentials
W Qiu, C Chang, W Liu, PWF Poon, Y Hu, FK Lam, RP Hamernik, G Wei, ...
IEEE Transactions on Biomedical Engineering 53 (2), 226-237, 2006
462006
Affine-invariant shape matching and recognition under partial occlusion
F Mai, CQ Chang, YS Hung
2010 IEEE international conference on image processing, 4605-4608, 2010
452010
Source localization for sparse array using nonnegative sparse Bayesian learning
N Hu, B Sun, J Wang, J Dai, C Chang
Signal processing 127, 37-43, 2016
442016
Occupational neuroplasticity in the human brain: a critical review and meta-analysis of neuroimaging studies
H Wu, H Yan, Y Yang, M Xu, Y Shi, W Zeng, J Li, J Zhang, C Chang, ...
Frontiers in human neuroscience 14, 215, 2020
402020
Free radical EPR spectroscopy analysis using blind source separation
JY Ren, CQ Chang, PCW Fung, JG Shen, FHY Chan
Journal of Magnetic Resonance 166 (1), 82-91, 2004
392004
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