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Application of wavelet transform in simultaneous improvement of signal-to-noise ratio and resolution

机译:小波变换在同时提高信噪比和分辨率中的应用

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摘要

New high-resolution seismic data processing methods have been applied to make up for the insufficiency in commercial seismic data processing system. To weaken the effect of noises, nonlinear filter-2D noise elimination operator is adopted in different frequency band to enhance the ratio of signal-to-noise. Then wavelet transform technique is used to extract the seismic wavelet in the homo-morphism domain and then calculate the inverse wavelet, which can get around the difficulty in the determination of filter length in the conventional homomorphism method. Practical application proves the validity of our method.
机译:新的高分辨率地震数据处理方法已经被应用来弥补商业地震数据处理系统中的不足。为了减弱噪声的影响,在不同频段采用了非线性滤波器二维噪声消除算子,以提高信噪比。然后利用小波变换技术提取同态域中的地震子波,然后计算反小波,从而避免了传统同态方法确定滤波器长度的困难。实际应用证明了该方法的有效性。

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