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Generalized Approach to Matched Filtering using Neural Networks. (arXiv:2104.03961v2 [astro-ph.IM] UPDATED)
Jan. 17, 2022, 2:10 a.m. | Jingkai Yan, Mariam Avagyan, Robert E. Colgan, Doğa Veske, Imre Bartos, John Wright, Zsuzsa Márka, Szabolcs Márka
cs.LG updates on arXiv.org arxiv.org
Gravitational wave science is a pioneering field with rapidly evolving data
analysis methodology currently assimilating and inventing deep learning
techniques. The bulk of the sophisticated flagship searches of the field rely
on the time-tested matched filtering principle within their core. In this
paper, we make a key observation on the relationship between the emerging deep
learning and the traditional techniques: matched filtering is formally
equivalent to a particular neural network. This means that a neural network can
be constructed analytically …
More from arxiv.org / cs.LG updates on arXiv.org
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