Description: For the simulation of microseismic signal denoising, wavelet analysis is used to construct window functions. The effect is very obvious in suppressing noise
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waveletdenoise\wavelet_denoise\168.sgy
waveletdenoise\wavelet_denoise\168lne_bm3d_result.sgy
waveletdenoise\wavelet_denoise\168lne_sure_noise.sgy
waveletdenoise\wavelet_denoise\168lne_tool0.sgy
waveletdenoise\wavelet_denoise\168lne_tool1.sgy
waveletdenoise\wavelet_denoise\168lne_tool2.sgy
waveletdenoise\wavelet_denoise\168lne_w_bm3d_result.sgy
waveletdenoise\wavelet_denoise\168lne_w_sure_noise.sgy
waveletdenoise\wavelet_denoise\bishe_wavelet.asv
waveletdenoise\wavelet_denoise\bishe_wavelet.m
waveletdenoise\wavelet_denoise\dataq_all_3.mat
waveletdenoise\wavelet_denoise\data_earth.mat
waveletdenoise\wavelet_denoise\dimian_3wan_72.mat
waveletdenoise\wavelet_denoise\hanzaojilu.mat
waveletdenoise\wavelet_denoise\lne2.asv
waveletdenoise\wavelet_denoise\lne2.m
waveletdenoise\wavelet_denoise\MeanSquareError.m
waveletdenoise\wavelet_denoise\wave_lne_bm3d_first.m
waveletdenoise\wavelet_denoise\wiggle.m
waveletdenoise\wavelet_denoise\YX_lne_curve_f30.mat
waveletdenoise\wavelet_denoise\YX_lne_curve_f300.mat
waveletdenoise\wavelet_denoise
waveletdenoise
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