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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Bibliografiske detaljer

Principais autores:	Dong Wang, Meiyan Lin, Xiaoxu Zhang, Yonghui Huang, Yan Zhu
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2023-08-01
Serier:	Sensors
Fag:	deep learning modulation classification graph neural network transformer network
Online adgang:	https://www.mdpi.com/1424-8220/23/16/7281
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