AMC-Net: An Effective Network for Automatic Modulation Classification
Author:
Affiliation:
1. Xidian University,School of Artificial Intelligence,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10094559/10094560/10097070.pdf?arnumber=10097070
Reference18 articles.
1. A Spatiotemporal Multi-Channel Learning Framework for Automatic Modulation Recognition
2. Automatic Modulation Classification Using CNN-LSTM Based Dual-Stream Structure
3. A Radio Signal Recognition Approach Based on Complex-Valued CNN and Self-Attention Mechanism
4. MCNet: An Efficient CNN Architecture for Robust Automatic Modulation Classification
5. Deep architectures for modulation recognition
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1. Multi-Channel Convolutional Distilled Transformer for Automatic Modulation Classification;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30
2. Adaptive Denoising With Efficient Channel Attention for Automatic Modulation Recognition;ICC 2024 - IEEE International Conference on Communications;2024-06-09
3. Spectrum Enhancement Based Modulation Recognition with Dual-Cue Attention Fusion and Extraction;2024 IEEE International Conference on Communications Workshops (ICC Workshops);2024-06-09
4. T-PRIME: Transformer-based Protocol Identification for Machine-learning at the Edge;IEEE INFOCOM 2024 - IEEE Conference on Computer Communications;2024-05-20
5. A Cross-Scale Embedding Based Fusion Transformer for Automatic Modulation Recognition;IEEE Communications Letters;2024-01
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