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Machine Vision and Deep Learning for Classification of Radio SETI Signals

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Category: Science News Archive (2019)

We apply classical machine vision and machine deep learning methods to prototype signal classifiers for the search for extraterrestrial intelligence. Our novel approach uses two-dimensional spectrograms of measured and simulated radio signals bearing the imprint of a technological origin.

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