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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Detalles Bibliográficos
Autores principales: Li, Mingxuan, Li, Ou, Liu, Guangyi, Zhang, Ce
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6263619/
https://www.ncbi.nlm.nih.gov/pubmed/30428617
http://dx.doi.org/10.3390/s18113913

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6263619/
https://www.ncbi.nlm.nih.gov/pubmed/30428617
http://dx.doi.org/10.3390/s18113913

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