Deep Learning for Modulation Recognition: A Survey With a Demonstration

Deep Learning for Modulation Recognition: A Survey With a Demonstration

In this paper, we review a variety of deep learning algorithms and models for modulation recognition and classification of wireless communication signals. Specifically, deep learning (DL) has shown overwhelming advantages in computer vision, robotics, and voice recognition. Recently, DL has been pro...

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Bibliographic Details
Main Authors: Ruolin Zhou, Fugang Liu, Christopher W. Gravelle
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Convolutional neural network
deep learning
deep belief network
modulation recognition
recurrent neural network
software defined radio
Online Access:https://ieeexplore.ieee.org/document/9058656/

Internet

https://ieeexplore.ieee.org/document/9058656/

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