Research on Blind Source Separation for Machine Vibrations
Weiguo HUANG, Shuyou WU, Fangrang KONG, Qiang WU
DOI: 10.4236/wsn.2009.15054   PDF   HTML     4,830 Downloads   8,730 Views   Citations


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 (output of sensors) by assuming the source signals independently. This paper reviews the general concept of BSS firstly; especially the theory for convolutive mixtures, the model of convolutive mixture and two deconvolution structures, then adopts a BSS algorithm for convolutive mixtures based on residual cross-talking error threshold control criteria, the simulation testing points out good performance for simulated mixtures.

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W. HUANG, S. WU, F. KONG and Q. WU, "Research on Blind Source Separation for Machine Vibrations," Wireless Sensor Network, Vol. 1 No. 5, 2009, pp. 453-457. doi: 10.4236/wsn.2009.15054.

Conflicts of Interest

The authors declare no conflicts of interest.


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