Research of Blind Source Separation Based on Second-order Statistics
Chen Ming-kui · Noise and Vibration Control · 2008
A method of blind source separation based on second-order statistics is introduced.Separation of the mixed signals can be obtained by this method,which can process second-order statistics of sample data and temporal structure of the source signals and avoid to estimate Gaussian property.The method reduces the computation and is suitable for analyzing engineering data.Simulation results show that the method can separate the signals mixed with noise.It was proved that blind source separation based on second-order statistics can effectively extract and separate characteristic signals through analyzing the electromotor's vibration signals.All of these work may be an good reference for applying blind source separation to analyzing the machine vibration signals.