The relevance vector machine for seismic Bayesian compressive sensing
G Pilikos - Geophysics, 2020 - pubs.geoscienceworld.org
Missing traces in seismic surveys create gaps in the data and cause problems in later stages
of the seismic processing workflow through aliasing or incoherent noise. Compressive …
of the seismic processing workflow through aliasing or incoherent noise. Compressive …
Bayesian modeling for uncertainty quantification in seismic compressive sensing
G Pilikos, AC Faul - Geophysics, 2019 - library.seg.org
Compressive sensing is used to improve the efficiency of seismic data acquisition and
survey design. Nevertheless, most methods are ad hoc, and their only aim is to fill in the …
survey design. Nevertheless, most methods are ad hoc, and their only aim is to fill in the …
Beta process factor analysis for efficient seismic compressive sensing with uncertainty quantification
G Pilikos, N Philip - 2018 IEEE 23rd International Conference …, 2018 - ieeexplore.ieee.org
Compressive Sensing for seismic surveys uses sparse signal assumptions to reconstruct the
reflected wave field. In the past, most methods utilised dictionaries of fixed basis functions for …
reflected wave field. In the past, most methods utilised dictionaries of fixed basis functions for …