Recurrent Neural Networks for Narrowband Signal Detection in the Time-Frequency Domain

Details Recurrent Neural Networks for Narrowband Signal Detection in the Time-Frequency Domain Recurrent Neural Networks for Narrowband Signal Detection in the Time-Frequency Domain

Jun 2004

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004iaus..213..483b&link_type=abstract

Bioastronomy 2002: Life Among the Stars, Proceedings of IAU Symposium #213. Edited by R. Norris, and F. Stootman. San Francisco:

Astronomy and Astrophysics

Astronomy

Scientific paper

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.

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