Title :
Independent Component Analysis and its application to signal processing of two-phase flow
Author_Institution :
Zhejiang Police Coll., Hangzhou
Abstract :
Since non-Gaussian characteristic of pressure signal of two-phase flow and Gaussian characteristic of noise match the nature of independent component analysis (ICA), the new method based on ICA for noise processing of pressure signal of two-phase flow is presented. ICA is applied firstly to a simulation signal with high SNR and a simulation signal with low SNR. The simulation results show that ICA can separate useful information even in the presence of severe noise environments. Then ICA is applied to the pressure signal of gas-solid two-phase flow, and the pressure signal and the noise signal are separated successfully. The primary researches demonstrate the non-Gaussian characteristic of pressure signal of gas-solid two-phase flow and show the effectiveness of ICA method in the noise processing of pressure signal of two-phase flow.
Keywords :
acoustic noise; acoustic signal processing; independent component analysis; two-phase flow; gas-solid two-phase flow; independent component analysis; pressure signal noise processing; pressure signal nonGaussian characteristic; signal processing; Algorithm design and analysis; Educational institutions; Gaussian noise; Independent component analysis; Noise reduction; Pressure control; Signal processing; Signal to noise ratio; Testing; Working environment noise; Independent component analysis; Noise; Non-Gaussian characteristic; Two-phase flow;
Conference_Titel :
Control Conference, 2008. CCC 2008. 27th Chinese
Conference_Location :
Kunming
Print_ISBN :
978-7-900719-70-6
Electronic_ISBN :
978-7-900719-70-6
DOI :
10.1109/CHICC.2008.4605173
