机译:基于小波包最优基分解的基于脑电图的脑机接口特征提取
School of Electronic, Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, People's Republic of China;
School of Electronic, Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, People's Republic of China;
School of Electronic, Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, People's Republic of China;
School of Electronic, Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, People's Republic of China;
机译:使用小波包最佳基分解的脑机接口中基于主题的自适应特征提取。
机译:基于小波包分解的脑计算机接口脑电特征提取
机译:人机界面中基于模糊小波包的基于主题的特征提取
机译:通过组合小波包变换和脑电站界面中的公共空间模式来提取特征提取
机译:语言模型辅助基于EEG的脑计算机接口进行打字。
机译:混合fNIRS-EEG脑机接口的特征提取和分类方法
机译:使用小波包分解和倒谱分析对基于脑电图的脑计算机接口进行单次试验分类