8 citations · 13 across the 8 of their papers we have counts for
3 papers · 1 filter
Spiking Neural Networks for Radio Frequency Interference Detection in Radio Astronomy
Nicholas J. Pritchard, Andreas Wicenec, Mohammed Bennamoun +1
Spiking Neural Networks (SNNs) promise efficient and dynamic spatio-temporal data processing. This paper reformulates a significant challenge in radio astronomy, Radio Frequency In…
Optimising the Processing and Storage of Visibilities using lossy compression
Richard Dodson, Alex Williamson, Qian Gong +7
The next-generation radio astronomy instruments are providing a massive increase in sensitivity and coverage, through increased stations in the array and frequency span. Two primar…
Supervised Radio Frequency Interference Detection with SNNs
Nicholas J. Pritchard, Andreas Wicenec, Mohammed Bennamoun +1
Radio Frequency Interference (RFI) poses a significant challenge in radio astronomy, arising from terrestrial and celestial sources, disrupting observations conducted by radio tele…