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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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Open source code for Radio Frequency Machine Learning

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