GitHub topics: radio-frequency-machine-learning
vtnsi/pywaspgen
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).
Language: Python - Size: 5.35 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 5 - Forks: 1
IQTLabs/BirdsEye
The BirdsEye RL/RF project enables localization of mobile radio frequency targets, e.g., drones operators, via commericial off-the-shelf sensors.
Language: Jupyter Notebook - Size: 399 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 44 - Forks: 16
zhongyuanzhao/dl_ofdm
Deep-Waveform: A Learned OFDM Receiver Based on Deep Complex-valued Convolutional Networks
Language: Python - Size: 80.1 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 95 - Forks: 64
ryanhill1/Radio-Astronomy
Radio frequency interference classification via convolutional neural network.
Language: Python - Size: 5.27 MB - Last synced at: 4 months ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0
