Robust Automatic Modulation Classification Using Convolutional Deep Neural Network Based on Scalogram Information

Robust Automatic Modulation Classification Using Convolutional Deep Neural Network Based on Scalogram Information

This study proposed a two-stage method, which combines a convolutional neural network (CNN) with the continuous wavelet transform (CWT) for multiclass modulation classification. The modulation signals’ time-frequency information was first extracted using CWT as a data source. The convolutional neura...

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Bibliographic Details
Main Authors: Ahmed Mohammed Abdulkarem, Firas Abedi, Hayder M. A. Ghanimi, Sachin Kumar, Waleed Khalid Al-Azzawi, Ali Hashim Abbas, Ali S. Abosinnee, Ihab Mahdi Almaameri, Ahmed Alkhayyat
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Computers
Subjects:
modulation
deep learning
wavelet transform
multiclass classification
Online Access:https://www.mdpi.com/2073-431X/11/11/162

Internet

https://www.mdpi.com/2073-431X/11/11/162

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