Real-Time Acoustic Holography for Target Pattern Acoustic Field Reconstruction With Iterative Unsupervised Learning

Real-Time Acoustic Holography for Target Pattern Acoustic Field Reconstruction With Iterative Unsupervised Learning

The ability to reconstruct acoustic field is essential for applications such as particle manipulation, medical therapy, and ultrasonic imaging. Conventional acoustic field reconstruction algorithms are limited in both speed and accuracy when generating acoustic holograms, which further constrains th...

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Bibliographic Details
Main Authors: Minjie Ma, Xuewei Wang, Yang Li, Jia Wang
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Acoustic field reconstruction
acoustic holograms
autoencoder structure
deep learning framework
novel loss function
unsupervised training
Online Access:https://ieeexplore.ieee.org/document/10973114/
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