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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7922821/ https://www.ncbi.nlm.nih.gov/pubmed/33670677 http://dx.doi.org/10.3390/s21041429 |