Faculty of Information Sciences and Engineering, University of Canberra, Canberra, Australia;
Faculty of Information Sciences and Engineering, University of Canberra, Canberra, Australia;
Department of Biomedical Engineering, HCMC International University, Ho Chi Minh City, Viet Nam;
Faculty of Information Sciences and Engineering, University of Canberra, Canberra, Australia;
Department of Biomedical Engineering, HCMC International University, Ho Chi Minh City, Viet Nam;
Faculty of Information Sciences and Engineering, University of Canberra, Canberra, Australia;
Faculty of Information Sciences and Engineering, University of Canberra, Canberra, Australia;
NIRS-based BCI; nonlinear feature; synchronous feature; Brain Computer Interface; motor imagery;
机译:基于2级电机图像的BCI功率谱密度的有效特征提取方法
机译:非线性自适应滤波器基于电机图像的BCI中的眼伪像消除和特征提取
机译:使用参数t-SNE提取运动图像脑电图的非线性特征
机译:基于NIRS的2级电机图像问题同步非线性特征的实验
机译:具有非线性滤波的永磁同步电动机的无传感器磁场定向控制。
机译:非线性抛物方程在时间上向后的危险连续性以及非线性模糊图像去模糊的实验
机译:同步磁阻电机铁损:考虑MTPA,FW和MTPV操作条件下的机器非线性