A Cylindrical Near-Field Acoustical Holography Method Based on Cylindrical Translation Window Expansion and an Autoencoder Stacked with 3D-CNN Layers

The performance of near-field acoustic holography (NAH) with a sparse sampling rate will be affected by spatial aliasing or inverse ill-posed equations. Through a 3D convolution neural network (CNN) and stacked autoencoder framework (CSA), the data-driven CSA-NAH method can solve this problem by uti...

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Detalles Bibliográficos
Autores principales: Wang, Jiaxuan, Zhang, Weihan, Zhang, Zhifu, Huang, Yizhe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10142147/
https://www.ncbi.nlm.nih.gov/pubmed/37112486
http://dx.doi.org/10.3390/s23084146

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10142147/
https://www.ncbi.nlm.nih.gov/pubmed/37112486
http://dx.doi.org/10.3390/s23084146

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