Seth Hitefield

End-to-End Radio Traffic Sequence Recognition with Deep Recurrent Neural Networks

2016 · arXiv (Cornell University)

We investigate sequence machine learning techniques on raw radio signal time-series data. By applying deep recurrent neural networks we learn to discriminate between several application layer traffic types on top of a constant envelope modulation …