60 citations · 160 across the 6 of their papers we have counts for
4 papers · 1 filter
Implementation of the rROF denoising method in the cWB pipeline for gravitational-wave data analysis
Pablo J. Barneo, Alejandro Torres-Forné, José A. Font +3
The data collected by the current network of gravitational-wave detectors are largely dominated by instrumental noise. Total variation methods based on L1-norm minimization have re…
Classification of gravitational-wave glitches via dictionary learning
Miquel Llorens-Monteagudo, Alejandro Torres-Forné, José A. Font +1
We present a new method for the classification of transient noise signals (or glitches) in advanced gravitational-wave interferometers. The method uses learned dictionaries (a supe…
Denoising of gravitational wave signals via dictionary learning algorithms
Alejandro Torres-Forné, Antonio Marquina, José A. Font +1
Gravitational wave astronomy has become a reality after the historical detections accomplished during the first observing run of the two advanced LIGO detectors. In the following y…
Denoising of gravitational-wave signal GW150914 via total-variation methods
Alejandro Torres-Forné, Antonio Marquina, José A. Font +1
We apply a regularized Rudin-Osher-Fatemi total variation (TV) method to denoise the transient gravitational wave signal GW150914. We have previously applied TV techniques to denoi…