An Inspecting Technology of Weak Sinusoidal Signal in Powerful Noise Based on Multi-layer Autocorrelation

Author

Fan Xiaozhi

Author_Institution

Sch. of Mater. & Mech. Eng., Beijing Technol. & Bus. Univ., Beijing, China

fYear

2013

fDate

21-23 July 2013

Firstpage

11

Lastpage

13

Abstract

Discrete wavelet transform (DWT) is a time-frequency analysis technology, which detects the subtle small changes in the signal spectrum and can improve the SNR(signal-to-noise ratio). Based on the DWT, considering the sinusoidal signal has a particular autocorrelation trait, it is possible to detect the unknown weak signal in power noise. Multiple statuses are studied, when sinusoidal signal are disturbed by white noise or colored noise. Finally, the paper offers a simulation results.

Keywords

discrete wavelet transforms; inspection; mechanical engineering computing; signal processing; time-frequency analysis; white noise; DWT; SNR; colored noise; discrete wavelet transform; inspecting technology; multilayer autocorrelation; powerful noise; time-frequency analysis technology; weak sinusoidal signal; white noise; Correlation; Signal to noise ratio; Time-frequency analysis; Wavelet analysis; Wavelet transforms; autocorrelation; colored noise; discrete wavelet transform; weak signal;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechanical and Automation Engineering (MAEE), 2013 International Conference on

Conference_Location

Jiujang

Type

conf

DOI

10.1109/MAEE.2013.12

Filename

6602125