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    高斌

    • 教授 博士生导师
    • 性别:男
    • 毕业院校:英国纽卡斯尔大学
    • 学历:博士研究生毕业
    • 学位:哲学博士学位
    • 在职信息:在岗
    • 所在单位:自动化工程学院
    • 学科:信号与信息处理
      测试计量技术及仪器
      检测技术与自动化装置
    • 办公地点:C2-403
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    Single Channel Source Separation Using EMD-Subband Variable Regularized Sparse Features

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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:

    发表时间:2011-03-30