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Underwater Acoustic Target Recognition Based on Depthwise Separable Convolution Neural Networks
Facing the complex marine environment, it is extremely challenging to conduct underwater acoustic target feature extraction and recognition using ship-radiated noise. In this paper, firstly, taking the one-dimensional time-domain raw signal of the ship as the input of the model, a new deep neural ne...
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| Publicado no: | Sensors (Basel) |
|---|---|
| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7922821/ https://ncbi.nlm.nih.gov/pubmed/33670677 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s21041429 |
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