Denoising of magnetic data and anti-aliasing of the anomalies in a weighting procedure
滑动窗口混合加权法磁异常保真去噪研究

Noise is a notable feature of real magnetic data. The method of moving window averaging(named as AV filter) can generally get good results for denoising, but some distortion of widths and heights of anomalies can also appear in the processing. Another method called S-G filter has the ability of anti-aliasing of the anomalies, but its performance in denoising of data in the stable part falls down as compared with the AV filter. Based on the recognizing method of anomalies proposed in this paper, a weighted combination of AV and S-G filters was fulfilled and the purpose of anti-aliasing of the anomalies was achieved with effective denoising of data. The example shows that the process is simple, easy and stable with good effects.