All Stories

  1. Leveraging overfitting for good — A two-step deep image prior model for seismic denoising
  2. Protecting the weak signals in distributed acoustic sensing data processing using local orthogonalization: the FORGE data example
  3. Imaging point diffractors using a low-rank approximation method
  4. Retrieving useful signals from highly corrupted erratic noise using robust residual dictionary learning
  5. Erratic and random noise attenuation using adaptive local orthogonalization
  6. A Matlab code package for 2D/3D local slope estimation and structural filtering
  7. Retrieving the leaked signals from noise using a fast dictionary-learning method
  8. Enhanced low-rank matrix estimation for simultaneous denoising and reconstruction of 5D seismic data
  9. Robust damped rank-reduction method for simultaneous denoising and reconstruction of 5D seismic data