A Primal-Dual Proximal Algorithm for Sparse Template-Based Adaptive Filtering: Application to Seismic Multiple Removal

@article{Pham2014APP,
  title={A Primal-Dual Proximal Algorithm for Sparse Template-Based Adaptive Filtering: Application to Seismic Multiple Removal},
  author={Mai Quyen Pham and Laurent Duval and Caroline Chaux and Jean-Christophe Pesquet},
  journal={IEEE Transactions on Signal Processing},
  year={2014},
  volume={62},
  pages={4256-4269}
}
Unveiling meaningful geophysical information from seismic data requires to deal with both random and structured “noises”. As their amplitude may be greater than signals of interest (primaries), additional prior information is especially important in performing efficient signal separation. We address here the problem of multiple reflections, caused by wave-field bouncing between layers. Since only approximate models of these phenomena are available, we propose a flexible framework for time… 

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