机译:用于实现基于SSVEP的高速脑机接口的滤波器组规范相关性分析
Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, 100084, People's Republic of China;
Swartz Center for Computational Neuroscience, Institute for Neural Computation, University of California, San Diego, La Jolla, CA 92093, USA,State Key Laboratory on Integrated Optoelectronics, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, People's Republic of China;
Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, 100084, People's Republic of China;
Swartz Center for Computational Neuroscience, Institute for Neural Computation, University of California, San Diego, La Jolla, CA 92093, USA;
Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, 100084, People's Republic of China;
steady-state visual evoked potentials; brain-computer interface; harmonics; filter bank; canonical correlation analysis;
机译:基于典范相关性分析方法的基于多通道SSVEP的在线人机界面
机译:定期分量分析作为SSVEP的脑电脑界面的空间滤波器
机译:一种设计空间滤波器的训练数据驱动规范相关分析算法,以增强基于SSVEP的BCIS的性能
机译:为快速响应的SSVEP脑机接口(BCI)优化滤波器组典型相关分析
机译:使用扩展方法提高基于SSVEP的大脑接口的分类器的性能
机译:使用两步任务相关的组件分析增强基于SSVEP的大脑接口
机译:生物启发式滤波器组用于基于ssVEp的脑机接口
机译:多相矩阵的合理规范形式及其在设计不规则滤波器组中的应用