A Lightweight CNN Architecture for Automatic Modulation Classification

A Lightweight CNN Architecture for Automatic Modulation Classification

Automatic modulation classification (AMC) algorithms based on deep learning (DL) have been widely studied in the past decade, showing significant performance advantage compared to traditional ones. However, the existing DL methods generally behave worse in computational complexity. For this, this pa...

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Autores principales: Zhongyong Wang, Dongzhe Sun, Kexian Gong, Wei Wang, Peng Sun
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
automatic modulation classification
convolutional neural network
depthwise separable convolution
feature reconstruction
global depthwise convolution
Electronics
TK7800-8360
Acceso en línea:https://doaj.org/article/76da91b7b5534820ac74dcded0ea909c
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https://doaj.org/article/76da91b7b5534820ac74dcded0ea909c

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