A sparse coding plus hierarchical tree pipeline for automatic modulation classification cuts model parameters by 41% and FLOPs to 10^{-4} of lightweight deep learning baselines.
Image feature extraction and denoising by sparse coding,
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G-AMC: A Green Automatic Modulation Classification Method
A sparse coding plus hierarchical tree pipeline for automatic modulation classification cuts model parameters by 41% and FLOPs to 10^{-4} of lightweight deep learning baselines.