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Training a U-Net based on a random mode-coupling matrix to recover acoustic interference striations

A U-Net is trained to recover acoustic interference striations (AISs) from distorted ones. A random mode-coupling matrix model is introduced to generate a large number of training data quickly, which are used to train the U-Net.

Data and Resources

Cite this as

Xiaolei Li, Wenhua Song, Dazhi Gao, Wei Gao, Haozhong Wang (2024). Dataset: Training a U-Net based on a random mode-coupling matrix to recover acoustic interference striations. https://doi.org/10.57702/de8jtlh9

DOI retrieved: December 3, 2024

Additional Info

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Created December 3, 2024
Last update December 3, 2024
Author Xiaolei Li
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Wenhua Song
Dazhi Gao
Wei Gao
Haozhong Wang