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A method of seismic signal de-noising based on S domain

机译:基于S域的地震信号去噪方法

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Based on the good time-frequency focusing of S transform, this paper introduces the generalized S transform (GST), which can flexibly chose the window function, to process the seismic signal, and systematically study the application of GST in the signal-noise separation of seismic data. This paper first uses the generalized S transform to decompose seismic data, and select suitable threshold to suppress the noises for the noisy frequency profile, and then extract significant signals, lastly reconstructs the seismic data processed. The synthetic and real seismic data processing experiments show that the method in this paper can efficiently separate signal and noise, and improve seismic section signal-to-noise ratio and seismic resolution.
机译:基于S变换的良好时光聚焦,介绍了广义的S变换(GST),可以灵活地选择窗口功能,处理地震信号,并系统地研究GST在信号噪声分离中的应用地震数据。本文首先使用广义的S变换来分解地震数据,并选择合适的阈值来抑制噪声频率分布的噪声,然后提取有效信号,最后重建处理的地震数据。合成和实际地震数据处理实验表明,本文的方法可以有效地分离信号和噪声,并提高地震截面信噪比和地震分辨率。

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