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Radar Emitter Signal Recognition Based on One-Dimensional Convolutional Neural Network with Attention Mechanism
As the real electromagnetic environment grows complex and the quantity of radar signals turns massive, traditional methods, which require a large amount of prior knowledge, are time-consuming and ineffective for radar emitter signal recognition. In recent years, convolutional neural network (CNN) ha...
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| 出版年: | Sensors (Basel) |
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| 主要な著者: | , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
MDPI
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7664421/ https://ncbi.nlm.nih.gov/pubmed/33171730 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20216350 |
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