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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Bibliographic Details
Main Authors:	Zhongyong Wang, Dongzhe Sun, Kexian Gong, Wei Wang, Peng Sun
Format:	Article
Language:	English
Published:	MDPI AG 2021-11-01
Series:	Electronics
Subjects:	automatic modulation classification convolutional neural network depthwise separable convolution feature reconstruction global depthwise convolution
Online Access:	https://www.mdpi.com/2079-9292/10/21/2679

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