ConvLSTMAE: A Spatiotemporal Parallel Autoencoders for Automatic Modulation Classification
Author:
Affiliation:
1. Information and Navigation College, Air Force Engineering University, Xi’an, Shaanxi, China
Funder
National Natural Science Foundation in China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Modeling and Simulation
Link
http://xplorestaging.ieee.org/ielx7/4234/9854924/09789162.pdf?arnumber=9789162
Reference19 articles.
1. Attention is all you need;vaswani;Proc Adv Neural Inf Process Syst,2017
2. Automatic Modulation Recognition Based on Adaptive Attention Mechanism and ResNeXt WSL Model
3. Deep Learning Based Modulation Recognition With Multi-Cue Fusion
4. Complex-Valued Networks for Automatic Modulation Classification
5. Accumulated Polar Feature-Based Deep Learning for Efficient and Lightweight Automatic Modulation Classification With Channel Compensation Mechanism
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