基于固有时间尺度分解算法的微震信号去噪

    Micro-seismic Signal De-noising Based on Intrinsic Time-scale Decomposition Algorithm

    • 摘要: 针对微震信号的非平稳宽频带特征,采用环境噪声层相关阈值,基于固有时间尺度分解(ITD),建立了一种高效的去噪算法。与小波变换为基础的去噪对比结果表明,ITD算法去噪彻底,去噪波形与原始波形峰值位置精确一致、到时突变细节保留完整,适用于对初至波到时精确拾取和判断。

       

      Abstract: Aiming at non-stationary broadband characteristics of micro-seismic signals,adopting correlative threshold dependent on the environmental noise variance,an effective de-noising algorithm was established based on intrinsic time-scale decomposition(ITD).Compared with the de-noised signals based on wavelet transform algorithm,denoising waveforms of ITD algorithm which can completely de-noising preserved precisely peak position with the original signals,and the sudden change detail of onset time was reserved exactly,which showed that ITD algorithm may be applied to pick and judge the first arrival of the primary wave accurately.

       

    /

    返回文章
    返回