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Application of wavelet threshold denoising method in gravity data processing

机译:小波阈值去噪方法在重力数据处理中的应用

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In this paper, we first introduce the basic theory of wavelet transform and the process of wavelet threshold denoising. Then we establish double sphere model to demonstrate the denoising effect on 2D gravity data processing and discuss the choice of parameters for the wavelet filter, more specifically, the threshold, the wavelet basis and the scale. Finally, the wavelet threshold denoising method is applied to practical gravity data to obtain good effect. Both synthetic and field examples show that the proposed method is an efficient method for gravity data processing.
机译:本文首先介绍了小波变换的基本理论和小波阈值去噪的过程。然后,我们建立了双球模型来证明降噪对二维重力数据处理的影响,并讨论了小波滤波器的参数选择,更具体地说,是阈值,小波基和尺度。最后,将小波阈值去噪方法应用于实际重力数据中,取得了较好的效果。综合实例和现场实例均表明,该方法是一种有效的重力数据处理方法。

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