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

Brodrick, David, Taylor, Douglas and Diederich, Joachim (2004). Recurrent Neural Networks for Narrowband Signal Detection in the Time-Frequency Domain. In: R. P. Norris and F. H. Stootman, Bioastronomy 2002 : life among the stars : proceedings of the 213th Symposium of the International Astronomical Union. 213th Symposium of the International Astronomical Union, Hamilton Island, Great Barrier Reef, Australia, (483-486). 8-12 July 2002.


Author Brodrick, David
Taylor, Douglas
Diederich, Joachim
Title of paper Recurrent Neural Networks for Narrowband Signal Detection in the Time-Frequency Domain
Conference Paper Type Fully Published Paper
Conference name 213th Symposium of the International Astronomical Union
Conference location Hamilton Island, Great Barrier Reef, Australia
Conference dates 8-12 July 2002
Proceedings title Bioastronomy 2002 : life among the stars : proceedings of the 213th Symposium of the International Astronomical Union   Check publisher's open access policy
Journal name Bioastronomy 2002: Life Among the Stars   Check publisher's open access policy
Editor R. P. Norris
F. H. Stootman
Place published San Francisco, Calif.
Publisher Astronomical Society of the Pacific for the IAU
Publication date 2004
Volume number 213
Issue number 213
ISBN 9781583811719; 1-58381-171-0
ISSN 0074-1809
Start page 483
End page 486
Total pages 4
Language eng
Abstract/Summary 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.
Subjects 080108 Neural, Evolutionary and Fuzzy Computation
0201 Astronomical and Space Sciences
0801 Artificial Intelligence and Image Processing
Q-Index Code E1
Additional Notes IAU Symposia Series; 213

Document type: Conference Paper
Sub-type: Fully Published Paper
Collections: Excellence in Research Australia (ERA) - Collection
Centre for Online Health Publications
 
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Created: Fri, 17 Apr 2009, 09:53:46 EST by Ms Sarada Rao on behalf of Faculty Of Health Sciences