Low Complex Hybrid Deep Learning Model for Automatic Modulation Classification
Author:
Affiliation:
1. CASEST University of Hyderabad,Hyderabad,India
2. Data Scientist Weatherford International,Mumbai,India
3. National Institute of Technology,Dept. of ECE,Goa,India
Funder
University Grants Commission
University of Hyderabad
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10420524/10420471/10420699.pdf?arnumber=10420699
Reference13 articles.
1. Wireless Signal Representation Techniques for Automatic Modulation Classification
2. Signal Modulation Classification Based on the Transformer Network
3. AMCRN: Few-Shot Learning for Automatic Modulation Classification
4. Deep long short-term memory networks-based automatic recognition of six different digital modulation types under varying noise conditions
5. Automatic Modulation Classification Based on Deep Learning for Software-Defined Radio
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