TITLE:
Research on Blind Source Separation for Machine Vibrations
AUTHORS:
Weiguo HUANG, Shuyou WU, Fangrang KONG, Qiang WU
KEYWORDS:
Blind Source Separation, Independent Component Analysis, Convolutive Mixtures, Machine Vibration, Residual Cross-Talking Error
JOURNAL NAME:
Wireless Sensor Network,
Vol.1 No.5,
December
16,
2009
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.