most citedOptimizing Sparse RFI Prediction using Deep Learning

56 citations · 56 across the 1 of their papers we have counts for

collaborators

1 paper

astro-ph.IM2019★ 56 cited

Optimizing Sparse RFI Prediction using Deep Learning

Joshua Kerrigan, Paul La Plante, Saul Kohn +61

Radio Frequency Interference (RFI) is an ever-present limiting factor among radio telescopes even in the most remote observing locations. When looking to retain the maximum amount…