Abstract: Aiming at the problem of over-decomposition of blasting vibration signals under high sampling rate when Fourier decomposition method (FDM) is used. Due to the frequency slice wavelet transform (FSWT) can extract any frequency domain signal,A FSWT-FDM decomposition method of blasting vibration signals coupled with FSWT and FDM is proposed. The sine cosine function is used to simulate the blasting vibration signal,which is verified the decomposition effect of the FSWTFDM method and compared with the FDM method. The results show that compared with the direct FDM decomposition of the signal,the invalid signal component of the FSWT-FDM method is greatly reduced,and the program operation efficiency is increased. The dominant frequency band signal extracted by FSWT can be further decomposed by FDM,and the generated signal components are consistent with the effective signal components directly decomposed by FDM. The reconstruction component is selected by the correlation coefficient and energy ratio of the signal component. The total energy,peak velocity and maximum error of the reconstructed signal prove that the FSWT-FDM method retains the original signal feature information effectively. By analyzing the blasting vibration signal of open-pit mine,it is verified that the FSWT-FDM method not only retains the time-frequency characteristics of the original signal,but also reduces the invalid signal components in signal decomposition,which provides a new idea for the decomposition of blasting vibration signal in open-pit mine. 

Key words: open-pit blasting,blasting vibration signal,FDM,FSWT,advantage frequency band signal