Fast and Lightweight Automatic Modulation Recognition using Spiking Neural Network
Author:
Affiliation:
1. National University of Defense Technology,College of Computer Science and Technology,Changsha,China
2. Academy of Military Sciences,Defense Innovation Institute,Beijing,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10557746/10557828/10558051.pdf?arnumber=10558051
Reference18 articles.
1. Survey of automatic modulation classification techniques: classical approaches and new trends
2. Spiking Neural Networks and Their Applications: A Review
3. Extended liquid state machines for speech recognition
4. Increasing liquid state machine performance with edge-of-chaos dynamics organized by astrocyte-modulated plasticity;Ivanov;Advances in neural information processing systems,2021
5. Real-Time Radio Technology and Modulation Classification via an LSTM Auto-Encoder
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