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上海大学 [30]
重庆大学 [4]
山东师范大学 [1]
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会议论文 [20]
期刊论文 [14]
专著 [1]
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2018 [3]
2017 [4]
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2015 [4]
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浏览/检索结果:
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Research on Motor Imagery EEG Modeling Based on Window Optimization and a Few Channels PSD
会议论文
2018 IEEE 23RD INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING (DSP), 2018-01-01
作者:
Yang, Banghua[1]
;
Hu, Chenxiao[2]
;
Wang, Jinlong[3]
;
Li, Bo[4]
;
Wang, Wei[5]
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2019/04/22
brain-computer interlace
motor imagery
power spectral density
time window optimization
few channels
Three class emotions recognition based on deep learning using staked autoencoder
会议论文
10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017, 2017-10-14
作者:
Yang, Banghua[1]
;
Han, Xu[2]
;
Tang, Jianzhen[3]
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/04/22
Automatic ocular artifacts removal in EEG using deep learning
期刊论文
BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2018, 卷号: 43, 页码: 148-158
作者:
Yang, Banghua[1]
;
Duan, Kaiwen[2]
;
Fan, Chengcheng[3]
;
Hu, Chenxiao[4]
;
Wang, Jinlong[5]
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/04/22
Ocular artifacts (OAs) removal
Electroencephalogram (EEG)
Deep learning network (DLN)
Independent component analysis (ICA)
Shallow network
Adaptive KF-SVM classification for single trial EEG in BCI
会议论文
International Conference on Life System Modeling and Simulation, LSMS 2017 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2017, 2017-09-22
作者:
Yang, Banghua[1]
;
Fan, Chengcheng[2]
;
Jia, Jie[3]
;
Chen, Shugeng[4]
;
Wang, Jianguo[5]
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2019/04/24
A Method of Ridge-NNG-Based Multivariate Fault Isolation in Presentence of Collinearity
会议论文
INTELLIGENT COMPUTING, NETWORKED CONTROL, AND THEIR ENGINEERING APPLICATIONS, PT II, 2017-01-01
作者:
Guo, Yimin[1]
;
Wang, Jianguo[2]
;
Yang, Banghua[3]
;
Ma, Shiwei[4]
;
Fei, Minrui[5]
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2019/04/24
Fault isolation
Variable selection
Ridge nonnegative garrote
Multicollinearity
TE process
Multivariate Fault Isolation in Presence of Outliers Based on Robust Nonnegative Garrote
专著
:SPRINGER-VERLAG BERLIN, 2017
作者:
Wang, Jianguo[1]
;
Deng, Zhifu[2]
;
Yang, Banghua[3]
;
Ma, Shiwei[4]
;
Fei, Minrui[5]
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2019/04/24
Fault isolation
Variable selection
Outliers
Robust nonnegative garrote
TE process
Removal of Electrooculogram Artifacts from Electroencephalogram Using Canonical Correlation Analysis with Ensemble Empirical Mode Decomposition
期刊论文
COGNITIVE COMPUTATION, 2017, 卷号: 9, 页码: 626-633
作者:
Yang, Banghua[1]
;
Zhang, Tao[2]
;
Zhang, Yunyuan[3]
;
Liu, Wanquan[4]
;
Wang, Jianguo[5]
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/04/24
Electroencephalogram (EEG)
Electrooculogram (EOG)
Artifacts removal
Canonical correlation analysis (CCA)
Ensemble empirical mode decomposition (EEMD)
Subject-based feature extraction by using fisher WPD-CSP in brain-computer interfaces
期刊论文
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2016, 卷号: 129, 页码: 21-28
作者:
Yang, Banghua[1]
;
Li, Huarong[2]
;
Wang, Qian[3]
;
Zhang, Yunyuan[4]
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/04/26
Wavelet packet decomposition (WPD)
Common spatial patterns (CSP)
Fisher distance
Brain-computer interface (BCI)
Electroencephalogram (EEG)
Feature extraction
EOG Artifacts Reduction from EEG Based on Deep Network and Recursive Least Squares Adaptive Filter
会议论文
Joint Conference of the 16th Asia Simulation Conference / SCS International Autumn Simulation Multi-Conference (AsiaSim/SCS AutumnSim), 2016-01-01
作者:
Yang, Banghua[1]
;
Duan, Kaiwen[2]
;
Zhang, Tao[3]
;
Zhang, Yonghuai[4]
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2019/04/26
Electrooculogram (EOG)
Electroencephalogram (EEG)
Deep Network (DN)
Recursive Least Squares adaptive (RLS) filtering
Removal of EOG artifacts from EEG using a cascade of sparse autoencoder and recursive least squares adaptive filter
期刊论文
NEUROCOMPUTING, 2016, 卷号: 214, 页码: 1053-1060
作者:
Yang, Banghua[1]
;
Duan, Kaiwen[2]
;
Zhang, Tao[3]
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/04/26
Electrooculogram (EOG)
Electroencephalogram (EEG)
Sparse autoencoder (SAE)
Recursive least squares (RLS) adaptive filtering
Brain computer interfaces (BCIs)
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