A method for blasting vibration signal denoising based on ensemble empirical mode decomposition-wavelet threshold
Fei Honglu, Meng Liu, Guangjian Qu, Gao Ying · 爆炸与冲击 · 2018
In this work we proposed a method based on ensemble empirical mode decomposition (EEMD) and wavelet threshold for eliminating the noise contained a in blasting signal. Following this method, the signal is firstly decomposed using the ensemble empirical mode decomposition; then, the intrinsic mode function with noise is processed by the wavelet threshold denoising; and, finally, the processed signal is superimposed on the untreated component of the signal, and the signal thus reconstructed is the denoised signal. This method can not only can effectively remove the noise, but also enable the burst wave form to retain its authenticity and integrity