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Accumulated Polar Feature-Based Deep Learning for Efficient and Lightweight Automatic Modulation Classification With Channel Compensation Mechanism

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

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Chieh-Fang Teng; Ching-Yao Chou; Chun-Hsiang Chen; An-Yeu Wu;
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年度 2020
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1. 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
2. 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
3. On classifiers for blind feature-based automatic modulation classification over multiple-input–multiple-output channels [J] . Sofiane Kharbech, Iyad Dayoub, Marie Zwingelstein-Colin, Communications, IET . 2016,第7期

机译：关于用于多输入多输出通道的基于盲特征的自动调制分类的分类器
4. Polar Feature Based Deep Architectures for Automatic Modulation Classification Considering Channel Fading [C] . Chieh-Fang Teng, Ching-Chun Liao, Chun-Hsiang Chen, IEEE Global Conference on Signal and Information Processing . 2019

机译：考虑通道衰落的自动调制分类的极性特征基于深度架构
5. Automatic Modulation Classification at the Wireless Physical Layer Using Deep Learning and Induced Class Hierarchies [D] . Odemuyiwa, Toluwanimi. 2019

机译：使用深度学习和诱导类层次结构在无线物理层自动调制分类
6. Automatic classification of esophageal disease in gastroscopic images using an efficient channel attention deep dense convolutional neural network [O] . Wenju Du, Nini Rao, Changlong Dong, 2021

机译：利用高效渠道注意力深层卷积神经网络自动分类食管疾病中食管疾病
7. LightAMC: Lightweight Automatic Modulation Classification via Deep Learning and Compressive Sensing [O] . Yu Wang, Jie Yang, Miao Liu, 2020

机译：Lightamc：轻量级自动调制分类通过深度学习和压缩感应

Accumulated Polar Feature-Based Deep Learning for Efficient and Lightweight Automatic Modulation Classification With Channel Compensation Mechanism

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