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Improving high-resolution and removing random noise using technique of wavelet frequency-division in seismic data process

机译:使用小波频率划分技术在地震数据过程中提高高分辨率和去除随机噪声

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摘要

The wavelet transform has the characteristics of localized frequency-division.The stochasticity of the random noises and the correlation of effective signals are taken in consideration while doing the wavelet transform to remove the random noises and to improve the resolution of seismic data.The processed results show that the wavelet transform acts as the function of both the frequency and time,and can effectively suppress the random noises and improve the signal-to-noise ratio as well as the resolution of seismic data.
机译:小波变换具有局部频率分割的特征。考虑随机噪声的随机性以及有效信号的相关性,同时进行小波变换以去除随机噪声并改善地震数据的分辨率。处理结果示出小波变换作为频率和时间的功能,并且可以有效地抑制随机噪声并提高信噪比以及地震数据的分辨率。

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