Generative Adversarial Networks-Based Semi-Supervised Automatic Modulation Recognition for Cognitive Radio Networks

Generative Adversarial Networks-Based Semi-Supervised Automatic Modulation Recognition for Cognitive Radio Networks

With the recently explosive growth of deep learning, automatic modulation recognition has undergone rapid development. Most of the newly proposed methods are dependent on large numbers of labeled samples. We are committed to using fewer labeled samples to perform automatic modulation recognition in...

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Bibliographic Details
Main Authors:	Mingxuan Li, Ou Li, Guangyi Liu, Ce Zhang
Format:	Article
Language:	English
Published:	MDPI AG 2018-11-01
Series:	Sensors
Subjects:	automatic modulation recognition deep learning semi-supervised generative adversarial network
Online Access:	https://www.mdpi.com/1424-8220/18/11/3913

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