An Evaluation of CNN Using Deep Residual Learning for Modulation, 5G, LTE, and WLAN System Classification
Author:
Affiliation:
1. National Institute of Technology, Kagoshima College,Dept. of Electrical and Electronic Engineering,Kagoshima,Japan
2. Universiti Teknologi Malaysia,Faculty of Electrical Engineering,Johor,Malaysia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10463165/10463194/10463382.pdf?arnumber=10463382
Reference6 articles.
1. Cognitive Radio Architecture
2. Application of Artificial Intelligence in Cognitive Radio for Planning Distribution of Frequency Channels
3. Modulation classification in cognitive radios for satellite and terrestrial systems
4. A modulation classification method in cognitive radios system using stacked denoising sparse autoencoder
5. Deep neural network architectures for modulation classification
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