Deep-Waveform: A Learned OFDM Receiver Based on Deep Complex-valued Convolutional Networks
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Updated
Oct 28, 2021 - Python
Deep-Waveform: A Learned OFDM Receiver Based on Deep Complex-valued Convolutional Networks
The BirdsEye RL/RF project enables localization of mobile radio frequency targets, e.g., drones operators, via commericial off-the-shelf sensors.
Automated RF analyzer
Radio frequency interference classification via convolutional neural network.
A toolkit for simulating stochastic and/or deterministic radio frequency aggregate spectrum (in both in-phase/quadrature and image formats) for testing sensing algorithms (e.g. detection, parameter estimation, classification).
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