Improved Modulation Classification Based on Hough Transforms of Constellation Diagrams Using CNN for the UWA-OFDM Communication System

The Automatic Modulation Classification (AMC) for underwater acoustic signals enables more efficient utilization of the acoustic spectrum. Deep learning techniques significantly improve classification performance. Hence, they can be applied in AMC work to improve the underwater acoustic (UWA) commun...

Descripció completa

Dades bibliogràfiques

Autors principals:	Mohamed A. Abdel-Moneim, Mohamed K. M. Gerwash, El-Sayed M. El-Rabaie, Fathi E. Abd El-Samie, Khalil F. Ramadan, Nariman Abdel-Salam
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2025-06-01
Col·lecció:	Eng
Matèries:	automatic modulation classification (AMC) underwater acoustic (UWA) communications Hough transform (HT) convolutional neural network (CNN)
Accés en línia:	https://www.mdpi.com/2673-4117/6/6/127
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!