A radon transform-based method for line spectrum enhancement of vector hydrophone LOFAR spectrograms under low SNR conditions
Abstract A Line spectrum Enhancement method for LOw Frequency Analysis and Recording (LOFAR) spectrum based on the Radon transform (LELR) is proposed, which is to improve the ability of vector hydrophone spectral line extraction under low signal-to-noise ratio. The LELR method leverages the characte...
Saved in:
| Main Authors: | Jun Wang, Caixia Song, Zhiguo Qi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-025-10679-7 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Underwater Acoustic Signal LOFAR Spectrogram Denoising Based on Enhanced Simulation
by: Tianxiang He, et al.
Published: (2024-11-01) -
DOA Estimation Method for Vector Hydrophones Based on Sparse Bayesian Learning
by: Hongyan Wang, et al.
Published: (2024-10-01) -
HETDEX-LOFAR Spectroscopic Redshift Catalog
by: Maya H. Debski, et al.
Published: (2024-01-01) -
Single Vector Hydrophone DOA Estimation: Leveraging Deep Learning with CNN-CBAM
by: Fanyu ZENG, et al.
Published: (2025-06-01) -
Frequency Response Extension Method of MET Vector Hydrophone Based on Dynamic Feedback Network
by: Fang Bian, et al.
Published: (2025-02-01)