Modulation Recognition Based on Instantaneous Feature Fusion
Author:
Affiliation:
1. School of Physics and Electronic-Electrical Engineering, Ningxia University,Yinchuan,China,750021
2. School of Information Engineering, Ningxia University,Yinchuan,China,750021
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10211117/10212989/10213005.pdf?arnumber=10213005
Reference13 articles.
1. Convolutional radio modulation recognition net-works;o'shea;Proc Int Conf Eng Appl Neural Netw,2016
2. A Spatiotemporal Multi-Channel Learning Framework for Automatic Modulation Recognition
3. Signal modulation recognizer based on method of artificial neural networ-ks;richterova;Proceeding of Symposium PIERS,2005
4. Automatic modulation classification via instantaneous features
5. Wideband Spectrum Sensing Based on Single-Channel Sub-Nyquist Sa-mpling for Cognitive Radio;changjian;SENSORS,2018
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