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机译:通过模板匹配与集成经验模式分解相结合,有效提取视觉事件相关模式
MEG Laboratory, Condensed Matter Physics Division, Indira Gandhi Centre for Atomic Research, Materials Science Group, Kalpakkam, India;
MEG Laboratory, Condensed Matter Physics Division, Indira Gandhi Centre for Atomic Research, Materials Science Group, Kalpakkam, India;
MEG Laboratory, Condensed Matter Physics Division, Indira Gandhi Centre for Atomic Research, Materials Science Group, Kalpakkam, India;
MEG Laboratory, Condensed Matter Physics Division, Indira Gandhi Centre for Atomic Research, Materials Science Group, Kalpakkam, India;
MEG Laboratory, Condensed Matter Physics Division, Indira Gandhi Centre for Atomic Research, Materials Science Group, Kalpakkam, India;
Electroencephalography; Visualization; Noise measurement; Feature extraction; Data mining; Empirical mode decomposition; Standards;
机译:使用互补集成经验模态分解提取正常受试者和耳鸣患者的稳态听觉诱发电位
机译:数据分解方法结合置换熵和频谱替换与集合经验模式分解
机译:数据分解方法结合置换熵和频谱替换与集合经验模式分解
机译:基于模板匹配和整体经验模态分解的脑电图眨眼伪像自动检测与去除方法
机译:将线性遗传规划与Kohonen的自组织图和整体经验模式分解相结合的应用,以改进沿肯塔基河的闸门和大坝10的水流预测
机译:使用互补集成经验模态分解提取正常受试者和耳鸣患者的稳态听觉诱发电位
机译:使用互补集成经验模态分解提取正常受试者和耳鸣患者的稳态听觉诱发电位