Robust Automatic Modulation Recognition Through Joint Contribution of Hand-Crafted and Contextual Features

Robust Automatic Modulation Recognition Through Joint Contribution of Hand-Crafted and Contextual Features

Automatic modulation recognition (AMR) has become increasingly important in the field of signal processing, especially with the advancements of intelligent communication systems. Deep Learning (DL) technologies have been incorporated into the AMR field and they have shown outstanding performances ag...

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Bibliographic Details
Main Authors: Bachir Jdid, Wei Hong Lim, Iyad Dayoub, Kais Hassan, Mohd Rizon Bin Mohamed Juhari
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Automatic modulation recognition (AMR)
convolutional neural network (CNN)
deep learning (DL)
wireless signal classification
Online Access:https://ieeexplore.ieee.org/document/9493193/

Internet

https://ieeexplore.ieee.org/document/9493193/

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