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

doi:doi:10.57702/de8jtlh9

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

Original MetadataJSON
The json representation of the dataset with its distributions based on DCAT.
Explore
- Preview
- Download

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

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