Title :
An Inspecting Technology of Weak Sinusoidal Signal in Powerful Noise Based on Multi-layer Autocorrelation
Author_Institution :
Sch. of Mater. & Mech. Eng., Beijing Technol. & Bus. Univ., Beijing, China
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;
Conference_Titel :
Mechanical and Automation Engineering (MAEE), 2013 International Conference on
Conference_Location :
Jiujang
DOI :
10.1109/MAEE.2013.12
