Data for: Marine controlled-source electromagnetic method data de-noising based on compressive sensing (CS) method

Published: 14 May 2020| Version 1 | DOI: 10.17632/rtmffbpthn.1
Contributors:
Pengfei Zhang, Ming Deng, Kai Chen

Description

noise1.mat: the first type of noises noise2.mat: the second type of noises noise3.mat: the third type of noises noise4.mat: the forth type of noises original_signal.mat: the original clean signal of 1D forward modeling response polluted_signal.mat: the data after adding four types of noises to the original data E_fft.mat: the cleared signal by windowed Fourier transform E_wavelet_glb.mat: the cleared signal by wavelet with global thresholds E_wavelet_lvd.mat: the cleared signal by wavelet with level dependent thresholds E_OMP_DST.mat: the cleared signal by orthogonal matching pursuit with discrete sine transform dictionary E_OMP_wavelet.mat: the cleared signal by orthogonal matching pursuit with wavelets dictionary E_OMP_Dirac_wavelet.mat: the cleared signal by orthogonal matching pursuit with Dirac and wavelets merging dictionary E_OMP_Dirac_DST.mat: the cleared signal by orthogonal matching pursuit with Dirac and discrete sine transform merging dictionary E_OMP_DST_wavelet.mat: the cleared signal by orthogonal matching pursuit with discrete sine transform and wavelets merging dictionary

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Categories

Electromagnetics, Denoising, Data Processing

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