This code is the open source implementation of the paper "Deep Learning Models for Wireless Signal Classification With Distributed Low-Cost Spectrum Sensors" published in IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING by Sreeraj Rajendran, Wannes Meert, Domenico Giustiniano, Vincent Lenders and Sofie Pollin (PDF)
Tensorflow
Tflearn
get_data.py -- Script for retrieving data from Electrosense
magfft_lstm_classify.py -- Magnitude FFT based classification
rml_lstm_classify.py -- Amplitude-phase classification model