WSN  Vol.1 No.5 , December 2009
Research on Blind Source Separation for Machine Vibrations
ABSTRACT
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.

Cite this paper
nullW. 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.
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