Blind Source Separation for Convolutive Miztures and Its Application to Machine Vibrations
Blind source separation is a signal processing method based on independent component analysis, its aim is to separate the source signals from a set of observations by assuming the signals independently. This paper reviews the general concept of BSS, especially the theory for convolutive mixtures, the model of convolutive mixture and two deconvolution structures: Recursive and Direct structures, then presents a BSS algorithm for convolutive mixtures based on RCTE threshold control criteria, the simulation testing points out good performance for simulated mixtures.
Blind source separation convolutive miztures rotating machine vibration residual cross-talking error
Weiguo Huang Shuyou Wu Fanrang Kong Qiang Wu Peng Li
Department of Precision Machinery and Precision Instrumentation University of Science and Technology of China,Hefei,P.R.China,230027
国际会议
长沙
英文
598-601
2009-04-11（万方平台首次上网日期，不代表论文的发表时间）