Resource-Constrained Specific Emitter Identification Based on Efficient Design and Network Compression
Specific emitter identification (SEI) methods based on deep learning (DL) have effectively addressed complex, multi-dimensional signal recognition tasks by leveraging deep neural networks. However, this advancement introduces challenges such as model parameter redundancy and high feature dimensional...
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| Main Authors: | Mengtao Wang, Shengliang Fang, Youchen Fan, Shunhu Hou |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-04-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/25/7/2293 |
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