论文信息 - Seismic random noise attenuation in f-x domain using complex-valued residual convolutional neural network - 字舞流文

Seismic random noise attenuation in f-x domain using complex-valued residual convolutional neural network

Yuji Kim | Robert Hardisty | Kurt J. Marfurt

[1] Mauricio D. Sacchi,et al. Multicomponent f-x seismic random noise attenuation via vector autoregressive operators , 2012 .

[2] Mauricio D. Sacchi,et al. On sampling functions and Fourier reconstruction methods , 2010 .

[3] Yue Lu,et al. A Tale of Two Bases: Local-Nonlocal Regularization on Image Patches with Convolution Framelets , 2016, SIAM J. Imaging Sci..

[4] Scott Rickard,et al. Blind separation of speech mixtures via time-frequency masking , 2004, IEEE Transactions on Signal Processing.

[5] Dong Zhang,et al. Seismic noise attenuation using an online subspace tracking algorithm , 2018, Geophysical Journal International.

[6] Lei Zhang,et al. Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising , 2016, IEEE Transactions on Image Processing.

[7] Jong Chul Ye,et al. Deep Convolutional Framelets: A General Deep Learning Framework for Inverse Problems , 2017, SIAM J. Imaging Sci..