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发表刊物:IEEE Transactions on Audio, Speech and Language Processing
摘要:A novel approach to solve the single channel source separation (SCSS) problem is presented. Most existing supervised SCSS methods resort exclusively to the independence waveform criteria as exemplified by training the prior information before the separation process. This poses a significant limiting factor to the applicability of these methods to real problem. Our proposed method does not require training knowledge for separating the mixture and it is based on decomposing the mixture into a series of oscillatory components termed as the intrinsic mode functions (IMF).
全部作者: S.S. Dlay, W.L. Woo,Bin Gao
通讯作者:Bin Gao
学科门类:工学
卷号:19
期号:4
页面范围:961-976
是否译文:否
发表时间:2011-03-30
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