基于小波变换的脉冲类电磁噪声处理

Like-impulse electromagnetic noise processing based wavelet transform

在天然电磁场观测中,脉冲类干扰的存在,将使观测信号发生剧烈的波动,导致频率域中的阻抗估算结果发生严重的畸变。针对脉冲类噪声在小波域中的变化特征,利用迭代回归技术来分析和压制噪声。模拟与实测数据测试表明,改正前后信号能量损失小,相关性高,改正信号高精度地逼近原信号,可有效地消除脉冲类噪声干扰。

In nature field observation the impedance estimation in the frequency domain will take severely biases while like-impulse exists and makes signal violent fluctuation. In the paper the noise is removed efficiently by characteristic of like-impulse noise in the wavelet domain and iteractive adaptation method. Test results of synthetic and field data show that corrected signal is of high correlation coefficient and less energy loss compared with raw signal, and is high accuracy approximation of raw signal, The like- impulse noise of field data is removed efticiently.