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The Ethereal
Deep Architectures for Modulation Recognition
March 27, 2017 ยท Declared Dead ยท ๐ International Symposium on Dynamic Spectrum Access Networks
"No code URL or promise found in abstract"
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Authors
Nathan E West, Timothy J. O'Shea
arXiv ID
1703.09197
Category
cs.LG: Machine Learning
Citations
476
Venue
International Symposium on Dynamic Spectrum Access Networks
Last Checked
3 months ago
Abstract
We survey the latest advances in machine learning with deep neural networks by applying them to the task of radio modulation recognition. Results show that radio modulation recognition is not limited by network depth and further work should focus on improving learned synchronization and equalization. Advances in these areas will likely come from novel architectures designed for these tasks or through novel training methods.
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