CSSL-AMC-Pytorch

★ 19 Open GitHub ↗

This is the official implementation for the paper: "A Contrastive Learner for Automatic Modulation Classification" (IEEE Trans. Wireless Commun., vol. 24, no. 4, 2025).

Explore Similar Repositories

Radio-Modulation-Recognition-Networks : Radio modulation recognition with CNN, CLDNN, CGDNN and MCTransformer architectures. Best results were achieved with the CGDNN architecture, which has roughly 50,000 parameters, and the final model has a memory footprint of 636kB. More details can be found in my bachelor thesis linked in the readme file.
AWN : [TCCN 2023] Official code for "Towards the Automatic Modulation Classification with Adaptive Wavelet Network".
SigDA : [Pytorch] Code for Paper “SigDA: A Superimposed Domain Adaptation Framework for Automatic Modulation Classification”
DNCNet-pytorch : This is the official repository of the paper "DNCNet: Deep Radar Signal Denoising and Recognition" from IEEE Transactions on Aerospace and Electronic Systems (TAES).
MCDformer : Multi-channel Convolutional Distilled Transformer for Automatic Modulation Classification
// repository documentation