Multiway Canonical Correlation Analysis for Frequency Components Recognition in SSVEP-Based BCIs
暂无分享,去创建一个
Xingyu Wang | Andrzej Cichocki | Qibin Zhao | Yu Zhang | Guoxu Zhou | Jing Jin | Akinari Onishi | A. Cichocki | Xingyu Wang | Jing Jin | Yu Zhang | Guoxu Zhou | Qibin Zhao | Akinari Onishi
[1] Gido Hakvoort,et al. Comparison of PSDA and CCA detection methods in a SSVEP-based BCI-system , 2011 .
[2] Tae-Kyun Kim,et al. Canonical Correlation Analysis of Video Volume Tensors for Action Categorization and Detection , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[3] Reinhold Scherer,et al. Steady-state visual evoked potential (SSVEP)-based communication: impact of harmonic frequency components , 2005, Journal of neural engineering.
[4] Ronald M. Aarts,et al. A Survey of Stimulation Methods Used in SSVEP-Based BCIs , 2010, Comput. Intell. Neurosci..
[5] Rehab Bahauldeen Ashary. Brain Computer Interface for Communication and Control , 2008 .
[6] Wei Wu,et al. Frequency recognition based on canonical correlation analysis for SSVEP-based BCIs , 2007, IEEE Transactions on Biomedical Engineering.
[7] S. Chatterjee,et al. Influential Observations, High Leverage Points, and Outliers in Linear Regression , 1986 .
[8] Xiaorong Gao,et al. Design and implementation of a brain-computer interface with high transfer rates , 2002, IEEE Transactions on Biomedical Engineering.
[9] Andrzej Cichocki,et al. Nonnegative Matrix and Tensor Factorization T , 2007 .
[10] Xingyu Wang,et al. Author's Personal Copy Biomedical Signal Processing and Control Lasso Based Stimulus Frequency Recognition Model for Ssvep Bcis , 2022 .
[11] Ronald M. Aarts,et al. Phase synchrony analysis for SSVEP-based BCIs , 2010, 2010 2nd International Conference on Computer Engineering and Technology.
[12] H. Hotelling. Relations Between Two Sets of Variates , 1936 .
[13] G. Pfurtscheller,et al. Brain-Computer Interfaces for Communication and Control. , 2011, Communications of the ACM.