RML22: Realistic Dataset Generation for Wireless Modulation Classification
Author:
Affiliation:
1. Electrical and Computer Engineering Department, University of California at San Diego, La Jolla, CA, USA
2. InterDigital, San Jose, CA, USA
Funder
Office of Naval Research
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications
Link
http://xplorestaging.ieee.org/ielx7/7693/10314841/10070586.pdf?arnumber=10070586
Reference50 articles.
1. Deep Learning for Modulation Recognition: A Survey With a Demonstration
2. Automatic modulation classification of digital modulation signals with stacked autoencoders
3. Data augmentation with conditional GAN for automatic modulation classification
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