Modulation Signal Classification Algorithm Based on Denoising Residual Convolutional Neural Network
Author:
Affiliation:
1. School of Electronics & Information Engineering, Nanjing University of Information Science & Technology, Nanjing, China
Funder
Jiangsu Natural Science Foundation
Key Discipline Construction Project of Jiangsu Universities
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09945928.pdf?arnumber=9945928
Reference27 articles.
1. A Method of Underwater Acoustic Signal Classification Based on Deep Neural Network
2. Deep neural network architectures for modulation classification
3. Research on Modulation Recognition Method in Low SNR Based on LSTM
4. Robust Modulation Classification under Uncertain Noise Condition Using Recurrent Neural Network
5. Improved threshold denoising method based on wavelet transform
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