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Deep convolution stack for waveform in underwater acoustic target recognition

In underwater acoustic target recognition, deep learning methods have been proved to be effective on recognizing original signal waveform. Previous methods often utilize large convolutional kernels to extract features at the beginning of neural networks. It leads to a lack of depth and structural im...

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Detalhes bibliográficos
Publicado no:Sci Rep
Main Authors: Tian, Shengzhao, Chen, Duanbing, Wang, Hang, Liu, Jingfa
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Publishing Group UK 2021
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8099869/
https://ncbi.nlm.nih.gov/pubmed/33953232
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-021-88799-z
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