Convolutional Neural Network for Joint Communication and Radar Signals Classification
Author:
Affiliation:
1. University of Pisa,Department of Information Engineering,Pisa,Italy
2. Radar and Surveillance Systems (RaSS) National Laboratory – CNIT,Pisa,Italy
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10172354/10172391/10172419.pdf?arnumber=10172419
Reference36 articles.
1. Convolutional, Long Short-Term Memory, fully connected Deep Neural Networks
2. Extended Openmax Approach for the Classification of Radar Images With a Rejection Option
3. SSD: Single shot multibox detector;liu;Proc Eur Conf Comput Vis,2016
4. SIDELOBES REDUCTION USING SIMPLE TWO AND TRI-STAGES NON LINEAR FREQUENCY MODULATION (NLFM)
5. Grow and Prune Compact, Fast, and Accurate LSTMs
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