Author(s)

Weiguo HUANG, Shuyou WU, Fangrang KONG, Qiang WU

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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.

Blind Source Separation, Independent Component Analysis, Convolutive Mixtures, Machine Vibration, Residual Cross-Talking Error

HUANG, W. , WU, S. , KONG, F. and WU, Q. (2009) Research on Blind Source Separation for Machine Vibrations. Wireless Sensor Network, 1, 453-457. doi: 10.4236/wsn.2009.15054.