DUSE selects top-margin samples from an auxiliary radio-signal pool via iterative active learning to expand low-resource AMR training sets.
Type of modulation identification using wavelet transform and neural network,
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DUSE: A Data Expansion Framework for Low-resource Automatic Modulation Recognition based on Active Learning
DUSE selects top-margin samples from an auxiliary radio-signal pool via iterative active learning to expand low-resource AMR training sets.