[IEEE-WCL] A Spatiotemporal Multi-Channel Learning Framework for Automatic Modulation Recognition
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Updated
Jun 25, 2024 - Python
[IEEE-WCL] A Spatiotemporal Multi-Channel Learning Framework for Automatic Modulation Recognition
[TCCN 2023] Official code for "Towards the Automatic Modulation Classification with Adaptive Wavelet Network".
[ICASSP 2023] Official repo for "AMC-Net: An Effective Network for Automatic Modulation Classification".
Meta-Transformer: A meta-learning framework for scalable automatic modulation classification
Code for "Complex-Valued Depthwise Separable Convolutional Neural Network for Automatic Modulation Classification"
This is the official implementation for the paper: "A Contrastive Learner for Automatic Modulation Classification" (IEEE Trans. Wireless Commun., vol. 24, no. 4, 2025).
Code containing various models for automatic modulation classification (AMC).
Official code for "EMC²-Net: Joint Equalization and Modulation Classification based on Constellation Network", ICASSP 2023.
Energy-Modulated Gain (EMG) that the sufficient-statistic-driven conditional normalization layer for automatic modulation recognition, with EMGNet and five baselines on RML2016.10a, RML2018.01a, and HisarMod2019.
Why do automatic modulation classifiers lose accuracy on a new domain? Measuring, explaining and closing the gap on RadioML 2016.10a and 2018.01A. PyTorch, ICRNNA reproduction, literature baselines.
Wireless modulation classification with MATLAB, NumPy, PyTorch, channel simulation, and SNR robustness analysis.
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