Automatic Modulation Classification Based on CNN-Transformer Graph Neural Network

In recent years, neural network algorithms have demonstrated tremendous potential for modulation classification. Deep learning methods typically take raw signals or convert signals into time–frequency images as inputs to convolutional neural networks (CNNs) or recurrent neural networks (RNNs). Howev...

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主要な著者:	Dong Wang, Meiyan Lin, Xiaoxu Zhang, Yonghui Huang, Yan Zhu
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2023-08-01
シリーズ:	Sensors
主題:	deep learning modulation classification graph neural network transformer network
オンライン･アクセス:	https://www.mdpi.com/1424-8220/23/16/7281
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