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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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Detalles Bibliográficos
Autores principales: Tian, Shengzhao, Chen, Duanbing, Wang, Hang, Liu, Jingfa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8099869/
https://www.ncbi.nlm.nih.gov/pubmed/33953232
http://dx.doi.org/10.1038/s41598-021-88799-z