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We study the adaptation of convolutional neural networks to the complex temporal radio signal domain.
“Signal interception: performance advantages of cyclic-feature detectors”
William˜A Gardner and Chad˜M Spooner · 1992
Earlier work this paper cites.
“Cognitive radio: making software radios more personal”
Joseph Mitola˜III and Gerald˜Q Maguire˜Jr · 1999
Earlier work this paper cites.
“GNU radio: tools for exploring the radio frequency spectrum”
Eric Blossom · 2004
Earlier work this paper cites.
“Dynamic spectrum policies: promises and challenges”
Paul˜J Kolodzy · 2004
Earlier work this paper cites.
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Honglak Lee and Alexis Battle · 2006
Earlier work this paper cites.
“Applications of machine learning to cognitive radio networks”
Charles Clancy, Joe Hecker, Erich Stuntebeck and Tim O’Shea · 2007
Earlier work this paper cites.
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“Speech Recognition with Deep Recurrent Neural Networks”
Alex Graves, Abdel-rahman Mohamed and Geoffrey˜E. Hinton · 2013
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“GNU Radio Channel Simulation”
Tim O’Shea · 2013
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“Adam: A Method for Stochastic Optimization”
Diederik˜P. Kingma and Jimmy Ba · 2014
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“Spatial Transformer Networks”
Max Jaderberg, Karen Simonyan, Andrew Zisserman and Koray Kavukcuoglu · 2015
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“Learning the Speech Front-end With Raw Waveform CLDNNs”
Tara˜N Sainath · 2015
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“TensorFlow: Large-scale machine learning on heterogeneous systems, 2015”
Martn Abadi and Ashish Agarwal · 2015
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