Independent Component Analysis and its application to signal processing of two-phase flow

Author

Qiangwei, Li

Author_Institution

Zhejiang Police Coll., Hangzhou

fYear

2008

fDate

16-18 July 2008

Firstpage

248

Lastpage

251

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/CHICC.2008.4605173

Filename

4605173