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Open source code for Radio Frequency Machine Learning

License: MIT License

Python 0.11% Jupyter Notebook 99.89%

open_source_rfml's Introduction

Important notes for 1 class @1msps

The paths in the notebooks need to be similarly followed in order for the Class RFDataset to function properly
The notebooks with the highest vxx versions are the latest (e.g. RF_class_v64, etc.)

Important notes for multi-class @1, 5, 10, and 25msps

read the RF_classification_gui_steps for more information on how to extract features from saved IQ files

Citing this work

R. David Badger, Kristopher H. Jung, and Minje Kim, "An Open-Sourced Time-Frequency Domain RF Classification Framework," in Proceedings of the 29th European Signal Processing Conference (EUSIPCO), Dublin, Ireland, Aug. 23-27, 2021.

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