Author
Listed:
- Zhaoxi Sun
(Department of Mathematics and Physics, North China Electric Power University, Baoding 071003, China)
- Wenbin Zhang
(Department of Mathematics and Physics, North China Electric Power University, Baoding 071003, China
Hebei Key Laboratory of Physics and Energy Technology, North China Electric Power University, Baoding 071003, China)
- Meiling Zhao
(Department of Mathematics and Physics, North China Electric Power University, Baoding 071003, China
Hebei Key Laboratory of Physics and Energy Technology, North China Electric Power University, Baoding 071003, China)
Abstract
We propose a U-Net regression network model for sliced data to reconstruct a three-dimensional irregular steady-state sound field filling inhomogeneous anisotropic media. Through an innovative sliced data processing strategy, the 3D reconstruction problem is decomposed into a combination of 2D problems, thereby significantly reducing the computational cost. The designed multi-channel U-Net fully utilizes the strengths of both the encoder and decoder, exhibiting strong feature extraction and spatial detail recovery capabilities. Numerical experiments show that the model can not only effectively reconstruct the complex sound field structure containing non-convex regions, but it can also synchronously restore the spatial distribution of the media and their parameter matrix, successfully achieving the dual reconstruction of the shape and physical parameters of the steady-state sound field.
Suggested Citation
Zhaoxi Sun & Wenbin Zhang & Meiling Zhao, 2025.
"The Inverse Scattering of Three-Dimensional Inhomogeneous Steady-State Sound Field Models,"
Mathematics, MDPI, vol. 13(7), pages 1-19, April.
Handle:
RePEc:gam:jmathe:v:13:y:2025:i:7:p:1187-:d:1627860
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:13:y:2025:i:7:p:1187-:d:1627860. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.