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Application of wavelet analysis to the data processing of non-seismic prospecting

机译:小波分析在非地震勘探数据处理中的应用

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摘要

Base upon the ability of localization features in both time and frequency, wavelet analysis (WA) comes to be an ideal method widely used in the data and the image processing. We have taken attempts to use WA in de-noising MT data, filtering in the gravity or magnetic data, separating induced polarization abnormality and multi-resolution decomposition of the geochemistry data. The results show that WA could be a potential method in the data processiong for the non-seismic prospecting.
机译:基于时间和频率定位特征的能力,小波分析(WA)已成为一种广泛用于数据和图像处理的理想方法。我们已尝试使用WA来对MT数据进行去噪,对重力或磁数据进行滤波,分离感应极化异常和对地球化学数据进行多分辨率分解。结果表明,在非地震勘探的数据处理中,WA可能是一种潜在的方法。

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