Modulation scheme recognition using convolutional neural network

Modulation scheme recognition using convolutional neural network

Convolutional neural network (CNN) is an extremely powerful machine-learning tool, especially when dealing with computer vision problems. Here, the authors present a CNN-based modulation recognition model. In order to fully elaborate the powerful image feature extraction ability of CNN, the authors...

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Bibliographic Details
Main Authors: Qianwen Zhang, Zhan Xu, Peiyue Zhang
Format: Article
Language:English
Published: Wiley 2019-10-01
Series:The Journal of Engineering
Subjects:
computer vision
fourier transforms
neural nets
learning (artificial intelligence)
image recognition
image classification
feature extraction
modulation scheme recognition
recognition methods
authors
signal-to-noise ratios
optimisation functions
activation function
automatic recognition
image recognition problem
complex modulation recognition problem
different complex signal spectrograms
image dataset
powerful image feature extraction ability
cnn-based modulation recognition model
computer vision problems
extremely powerful machine-learning tool
convolutional neural network
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2018.9188

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https://digital-library.theiet.org/content/journals/10.1049/joe.2018.9188

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