Title :
Instantaneous feature extraction of non-stationary signal based on complex Morlet wavelet
Author :
Ruan Huailin ; Xu Jiren
Author_Institution :
Dept. of Inforamtion, Electron. Eng. Inst. of Hefei, Hefei, China
Abstract :
Put forward the method of Instantaneous feature extraction of non-stationary signal based on complex wavelet Morlet. Aiming at the characteristics of non-stationary signal signal, we construct two groups of combination information suitable for feature extraction combining amplitude and phase information which complex wavelet transform provide. The example of linear frequency-modulated signals and application examples of bearing vibration signal show that the model and the method have better antinoise ability, and have higher precision to the Instantaneous feature of non-stationary signal, and it can extract Instantaneous feature of non-stationary signal This method can realize its fast algorithm by Fourier transform, and has the simple and fast characteristics of algorithm, and realize the real-time analysis of the instantaneous characteristics of non-stationary signal.
Keywords :
Fourier transforms; signal denoising; wavelet transforms; Fourier transform; amplitude information; antinoise ability; bearing vibration signal; complex wavelet Morlet; instantaneous feature extraction; linear frequency-modulated signals; nonstationary signal; phase information; Continuous wavelet transforms; Feature extraction; Time frequency analysis; Vibrations; Wavelet domain; complex Morlet wavelet; feature extraction; non-stationary signal;
Conference_Titel :
Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on
Conference_Location :
Harbin, Heilongjiang, China
Print_ISBN :
978-1-61284-087-1
DOI :
10.1109/EMEIT.2011.6023298
