Title :
Application of wavelet threshold denoising method in signal preprocessing for blast vibration
Author :
Zhang, Le ; Yan, Jing-long ; Li, Dong-tao
Author_Institution :
Sch. of Mechatron. Eng., Beijing Inst. of Technol., Beijing, China
Abstract :
The blast vibration signal, as the key parameter to evaluate the blasting vibration, is often disturbed by the outside noises. The method of signal denoising based on wavelet threshold was applied to eliminate their negative effects, and different thresholds and noises treatment methods were described in detail. The effects of denoising using different thresholds were compared and analyzed by processing the blast vibration signal recorded in engineering work. Some practical experiences about wavelet denoising were summarized.
Keywords :
mechanical engineering computing; shock waves; signal denoising; vibrations; wavelet transforms; blast vibration signal preprocessing; noise treatment methods; wavelet threshold denoising method; Noise reduction; Signal to noise ratio; Vibrations; Wavelet coefficients; blast vibration signal; denoising; threshold; wavelet transform;
Conference_Titel :
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6513-2
DOI :
10.1109/CISP.2010.5648186
