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A Deep Convolutional Neural Network Inspired by Auditory Perception for Underwater Acoustic Target Recognition
Underwater acoustic target recognition (UATR) using ship-radiated noise faces big challenges due to the complex marine environment. In this paper, inspired by neural mechanisms of auditory perception, a new end-to-end deep neural network named auditory perception inspired Deep Convolutional Neural N...
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| Publicat a: | Sensors (Basel) |
|---|---|
| Autors principals: | , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI
2019
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6427555/ https://ncbi.nlm.nih.gov/pubmed/30836716 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19051104 |
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