Meta-Learning for Wireless Interference Identification
Author:
Affiliation:
1. Clemson University,Holcombe Department of Electrical and Computer Engineering,Clemson,SC,USA
2. Air Force Research Laboratory,Rome,NY,USA,13441
Funder
National Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10118584/10118587/10119039.pdf?arnumber=10119039
Reference16 articles.
1. Meta-Learning to Communicate: Fast End-to-End Training for Fading Channels
2. From Learning to Meta-Learning: Reduced Training Overhead and Complexity for Communication Systems
3. Model-agnostic meta-learning for fast adaptation of deep networks;finn;International Conference on Machine Learning,2017
4. Specific Emitter Identification with Limited Samples: A Model-Agnostic Meta-Learning Approach
5. Multi-Depth Adaptive Networks For Wireless Interference Identification
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