Weight-Variable Scattering Convolution Networks and Its Application in Electromagnetic Signal Classification

Weight-Variable Scattering Convolution Networks and Its Application in Electromagnetic Signal Classification

Deep learning is an important support for the development of cognitive communication in the cognitive Internet of Things (IoT). Deep convolution neural networks have powerful functional expression and feature extraction capabilities. Mallat et al. proposed a convolutional network model with strict m...

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Bibliographic Details
Main Authors: Huaji Zhou, Licheng Jiao, Shilian Zheng, Shichuan Chen, Lifeng Yang, Weiguo Shen, Xiaoniu Yang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Cognitive communication
convolution neural networks
scattering convolution networks
wavelet
electromagnetic signals
classification
Online Access:https://ieeexplore.ieee.org/document/8922798/

Internet

https://ieeexplore.ieee.org/document/8922798/

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