Cargando…
Modulation Classification of Underwater Communication with Deep Learning Network
Automatic modulation recognition has successfully used various machine learning methods and achieved certain results. As a subarea of machine learning, deep learning has made great progress in recent years and has made remarkable progress in the field of image and language processing. Deep learning...
Autores principales: | Wang, Yan, Zhang, Hao, Sang, Zhanliang, Xu, Lingwei, Cao, Conghui, Gulliver, T. Aaron |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6466928/ https://www.ncbi.nlm.nih.gov/pubmed/31065254 http://dx.doi.org/10.1155/2019/8039632 |
Ejemplares similares
-
Automatic Modulation Classification for Underwater Acoustic Communication Signals Based on Deep Complex Networks
por: Yao, Xiaohui, et al.
Publicado: (2023) -
Feature Fusion Based on Graph Convolution Network for Modulation Classification in Underwater Communication
por: Yao, Xiaohui, et al.
Publicado: (2023) -
Joint Transmit Antenna Selection and Power Allocation for ISDF Relaying Mobile-to-Mobile Sensor Networks
por: Xu, Lingwei, et al.
Publicado: (2016) -
Deep Learning-Based Spread-Spectrum FGSM for Underwater Communication
por: Qasem, Zeyad A. H., et al.
Publicado: (2020) -
Underwater Target Signal Classification Using the Hybrid Routing Neural Network
por: Cheng, Xiao, et al.
Publicado: (2021)