Identification of Cellular Signal Measurements Using Machine Learning
Author:
Affiliation:
1. Faculty of Engineering and Applied Science, Memorial University, St. Johns, Canada
2. Allen-Vanguard Corporation, Ottawa, Canada
Funder
Natural Sciences and Engineering Research Council of Canada
Allen-Vanguard Technologies
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/19/10012124/10031609.pdf?arnumber=10031609
Reference18 articles.
1. End-to-End Learning From Spectrum Data: A Deep Learning Approach for Wireless Signal Identification in Spectrum Monitoring Applications
2. Cellular Signal Identification Using Convolutional Neural Networks: AWGN and Rayleigh Fading Channels
3. Neuro-fuzzy signal classifier (NFSC) for standard wireless technologies
4. Fuzzy logic based signal classification with cognitive radios for standard wireless technologies
5. A Survey on Deep Learning Techniques in Wireless Signal Recognition
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