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LightAMC: Lightweight Automatic Modulation Classification via Deep Learning and Compressive Sensing

机译：Lightamc：轻量级自动调制分类通过深度学习和压缩感应

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Yu Wang; Jie Yang; Miao Liu; Guan Gui;
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1. LightAMC: Lightweight Automatic Modulation Classification via Deep Learning and Compressive Sensing [J] . IEEE Transactions on Vehicular Technology . 2020,第3期

机译：LightAMC：通过深度学习和压缩感测实现轻量级自动调制分类
2. Accumulated Polar Feature-Based Deep Learning for Efficient and Lightweight Automatic Modulation Classification With Channel Compensation Mechanism [J] . Chieh-Fang Teng, Ching-Yao Chou, Chun-Hsiang Chen, IEEE Transactions on Vehicular Technology . 2020,第12期

机译：基于极性特征的深度学习，具有通道补偿机制的高效和轻质自动调制分类
3. Unsupervised feature learning and automatic modulation classification using deep learning model [J] . Afan Ali, Fan Yangyu Physical Communication . 2017,第PTa1期

机译：使用深度学习模型的无监督特征学习和自动调制分类
4. A Two-Fold Group Lasso Based Lightweight Deep Neural Network for Automatic Modulation Classification [C] . Xiaofeng Liu, Qing Wang, Haozhi Wang IEEE International Conference on Communications Workshops . 2020

机译：基于两族Lasso的轻型深度神经网络的自动调制分类
5. Automatic Modulation Classification Using Cyclic Features via Compressed Sensing [D] . Ramsey, Andrew J. 2018

机译：自动调制分类使用循环特征通过压缩感测
6. Automatic Modulation Classification Based on Deep Learning for Unmanned Aerial Vehicles [O] . Duona Zhang, Wenrui Ding, Baochang Zhang, 2018

机译：基于深度学习的无人机自动调制分类
7. Accumulated Polar Feature-Based Deep Learning for Efficient and Lightweight Automatic Modulation Classification With Channel Compensation Mechanism [O] . Chieh-Fang Teng, Ching-Yao Chou, Chun-Hsiang Chen, 2020

机译：基于极性特征的深度学习，具有通道补偿机制的高效和轻质自动调制分类

LightAMC: Lightweight Automatic Modulation Classification via Deep Learning and Compressive Sensing

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