Abstract To effectively denoise the seismic data collected by the JCZ series ultra-wideband seismograph, we discuss the actual effect of wavelet threshold method in different seismic data. Firstly, this paper introduces the basic theory of wavelet method and the standard of denoising. We analyze the effect of different wavelet base selection, different decomposition, reconstruction scale and different threshold selection and processing methods on the final denoising effect of wavelet threshold method. Through the control variable method, and selecting recorded data from the seismic station in Wuhan University, we explore how to obtain better denoising effect. In order to compare the effect of the same method in two cases of small earthquakes and medium-strong earthquakes, we use the selected wavelet base and geometric scale to denoise the seismic data. In actual seismic denoising, the threshold selected based on sample number estimation has certain limitations, and the same threshold has different results in denoising in different magnitudes. Finally, the wavelet threshold is used to denoise the seismic data collected by the JCZ series ultra-wideband seismographs and we find that it is also helpful for the identification and judgment of the P wave first motion.
WANG Haibin,ZHOU Yunyao,Lü Yongqing et al. Application and Discussion on Wavelet Threshold Method in Seismic Data Recorded by JCZ Series Ultra-Wideband Seismographs[J]. jgg, 2021, 41(3): 323-330.
WANG Haibin,ZHOU Yunyao,Lü Yongqing et al. Application and Discussion on Wavelet Threshold Method in Seismic Data Recorded by JCZ Series Ultra-Wideband Seismographs[J]. jgg, 2021, 41(3): 323-330.
