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Recurrent Neural Networks for Narrowband Signal Detection in the Time-Frequency Domain
Published online by Cambridge University Press: 19 September 2017
Abstract
A recurrent neural network was trained to detect the time-frequency domain signature of narrowband radio signals against a background of astronomical noise. The objective was to investigate the use of recurrent networks for signal detection in the Search for Extra-Terrestrial Intelligence, though the problem is closely analogous to the detection of some classes of Radio Frequency Interference in radio astronomy.
- Type
- Search for Extraterrestrial Intelligence (SETI)
- Information
- Symposium - International Astronomical Union , Volume 213: Bioastronomy 2002: Life Among the stars , 2004 , pp. 483 - 486
- Copyright
- Copyright © Astronomical Society of the Pacific 2004
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