A self-learning classifier trained on two years of data from 12 SuperDARN and SECIRA radars groups signals into 37 classes using propagation models and measurements, selecting 14 stable ones with preliminary physical interpretations.
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Self-learning signal classifier for decameter coherent scatter radars
A self-learning classifier trained on two years of data from 12 SuperDARN and SECIRA radars groups signals into 37 classes using propagation models and measurements, selecting 14 stable ones with preliminary physical interpretations.