RTL-ML classifies 7 radio signal types on ARM at 96.9% accuracy

A machine-learning radio signal classifier called "RTL-ML," running on an RTL-SDR receiver and an ARM single-board computer (SBC), has been released. Using spectrogram-derived features, it identifies seven signal types—including FM broadcast, NOAA weather and APRS—with 96.9% accuracy.