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The Processing of Rectangular Interferences on Magnetotelluric Sounding Data Based on Hilbert-Huang Transform

机译:基于希尔伯特-黄变换的大地电磁测深数据矩形干扰处理

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Observation of natural electromagnetic field shows that rectangular interferences leads to the signals fluctuation violently.As a result,the sounding curves (apparent resistivity or phase curves)are distorted so that the following analysis and processing are seriously influenced.According to the change features of rectangular interference in time domain,Hilbert-Huang transform (HHT)was applied in this study to suppress rectangular interferences.First,the signal was carried out empirical mode decomposition (EMD) to obtain intrinsic mode functions (IMF) of different orders.Secondly,the overall instantaneous frequency of IMF in each order was calculated using median deviation,the IMFs in the orders which contain noises were screened out by comparing the overall instantaneous frequency of IMF frequency domain in each order.And those IMFs were set to be zero.Last,the signals were reconstructed using EMD.The observed data indicated that before and after construction,the signals present only little energy loss and high correlativity.Besides,the reconstructed signals were as precise as that of the original ones with high precision and could effectively eliminate the interferences.
机译:对自然电磁场的观察表明,矩形干扰会导致信号剧烈波动,从而使探测曲线(视电阻率或相位曲线)失真,严重影响了以下分析和处理。本研究采用时域干扰,采用希尔伯特-黄变换(HHT)抑制矩形干扰。首先,对信号进行经验模态分解(EMD),得到不同阶次的固有模态函数(IMF)。使用中位数偏差计算每个阶次的IMF的整体瞬时频率,通过比较每个阶次的IMF频域的整体瞬时频率来筛选出包含噪声的阶次的IMF,并将这些IMF设置为零。用EMD重建信号。观察到的数据表明,在构建前后,信号仅存在重建后的信号与原始信号一样精确,具有较高的精度,可以有效消除干扰。

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