摘要
人脑对音乐的欣赏和创作过程涵盖了几乎所有的认知过程,包括了知觉、注意、学习、记忆、情绪等,对音乐认知的研究成为认知研究的理想切入点,受到越来越多研究者的关注.对当前独立分量分析(ICA)和聚类方法的有效性和不足进行了分析,提出了将小波包、ICA与聚类相结合的方法用于音乐认知研究的新思路.
The enjoying and creation of music cover almost all the cognition process of human brain, including perception, attention, study, memory, emotion, and so on. The study of music cognition is the ideal start of cognition research, and it has attracted more and more researchers. ICA clustering method is widely applied in this field. As the ICA method has some limitations, this article introduced the method combined Wavelet Package with ICA clustering into the study of music cognition as a new research method.
出处
《哈尔滨师范大学自然科学学报》
CAS
2012年第1期58-61,共4页
Natural Science Journal of Harbin Normal University
基金
天津市教委资助项目(20071328)
天津师大博士基金项目资助(52LX17)
关键词
音乐认知
脑电信号(EEG)
小波包
独立分量分析(ICA)
Music cognition
Electroencephalogram （ EEG ） signal
Wavelet package
Independentcomponent analysis（ICA）
