SSL-LRN: A Lightweight Semi-Supervised-Learning-Based Approach for UWA Modulation Recognition
Due to the lack of sufficient valid labeled data and severe channel fading, the recognition of various underwater acoustic (UWA) communication modulation types still faces significant challenges. In this paper, we propose a lightweight UWA communication type recognition network based on semi-supervi...
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| Hauptverfasser: | , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
MDPI AG
2024-08-01
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| Schriftenreihe: | Journal of Marine Science and Engineering |
| Schlagworte: | |
| Online-Zugang: | https://www.mdpi.com/2077-1312/12/8/1317 |
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