ais recovery
Training a U-Net based on a random mode-coupling matrix model to recover acoustic interference striations
Li, Xiaolei, Song, Wenhua, Gao, Dazhi, Gao, Wei, Wan, Haozhong
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. The performance of AIS recovery of the U-Net is tested in range-dependent waveguides with nonlinear internal waves (NLIWs). Although the random mode-coupling matrix model is not an accurate physical model, the test results show that the U-Net successfully recovers AISs under different signal-to-noise ratios (SNRs) and different amplitudes and widths of NLIWs for different shapes.
2003.10661
Country:
- Oceania > Australia > South Australia > Adelaide (0.05)
- North America > United States > District of Columbia > Washington (0.05)
- Asia > China > Shandong Province > Qingdao (0.05)
- (3 more...)
Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (1.00)