最优小波基选择法在测震数据干扰处理中的研究与应用

选取成都地震台的测震数据作为研究样本,将不同的小波基进行了以重构精度、相对SNR值以及去噪后频谱的分析结果为依据的筛选流程。结果显示:bior2.4小波基重构精度最佳、去噪效果良好、更加完整地保留了样本的有效高频信号,是适合成都地震台测震数据的最优小波基。将其应用于成都地震台的测震数据干扰处理,波形去噪效果明显,波形的信噪比得到明显提高,对震级计算并无显著影响。

Application and Research of Optimal Wavelet Base Selection Method in Seismic Data Processing

In this paper,the seismic data of Chengdu Seismic Station is selected as the research sample.The different wavelet bases are screened based on the reconstruction accuracy,the relative SNR and the spectrum analysis results after denoising.The results show that the wavelet base of bior2.4 has the smallest error,the best denoising effect and the more complete retention of the high frequency signal of the samples.It is the optimal wavelet base suitable for the seismic data of Chengdu Seismic Station The results show that the waveform denoising effect is remarkable,the signal-to-noise ratio are improved obviously,and there is no significant influence on the magnitude calculation.