An Unsupervised Multi-View Graph Pseudo-Labeling Framework for Automatic Modulation Recognition
Automatic modulation recognition (AMR) in non-cooperative systems is limited by scarce labels. This letter proposes a strictly unsupervised, fully label-free multi-view graph pseudo-labeling framework. Ground-truth labels are never loaded by any training-stage routine: representation learning, graph construction, pseud...