Snapping Shrimp Noise Detection Based on Statistical Model
Abstract
:1. Introduction
Glossary
- (1)
- : hydrophone input signal;
- (2)
- : estimated input signal based on LP analysis;
- (3)
- : SSN signal;
- (4)
- : ambient noise signal;
- (5)
- : LP residual signal;
- (6)
- : -th linear coefficient;
- (7)
- : LP residual signal originating from SSN;
- (8)
- : LP residual signal originating from ambient noise.
2. Related Works
2.1. Linear Prediction Analysis
2.2. Goodness-of-Fit Test for Statistical Analysis
3. Proposed Method
3.1. Signal Modeling Using the LP Residual Signal
3.2. Goodness-of-Fit Test for the LP Residual Signal
3.3. SSN Detection Using Likelihood Ratios
4. Experimental Results and Performance Assessment
4.1. Experimental Environment
4.2. Performance Evaluation
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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KS Statistics | ||||
---|---|---|---|---|
Gaussian | 0.0297 | 0.0260 | 0.1350 | 0.1396 |
Laplace | 0.0214 | 0.0196 | 0.1007 | 0.1012 |
Gamma | 0.0378 | 0.0477 | 0.1612 | 0.1295 |
Input Power | LP Residual [21] | Gaussian LR | Laplace LR | Gamma LR | |
---|---|---|---|---|---|
AUC | 0.6513 | 0.8182 | 0.8802 | 0.8857 | 0.8844 |
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Park, S.; Seok, J.; Hong, J. Snapping Shrimp Noise Detection Based on Statistical Model. J. Mar. Sci. Eng. 2024, 12, 42. https://doi.org/10.3390/jmse12010042
Park S, Seok J, Hong J. Snapping Shrimp Noise Detection Based on Statistical Model. Journal of Marine Science and Engineering. 2024; 12(1):42. https://doi.org/10.3390/jmse12010042
Chicago/Turabian StylePark, Suhyeon, Jongwon Seok, and Jungpyo Hong. 2024. "Snapping Shrimp Noise Detection Based on Statistical Model" Journal of Marine Science and Engineering 12, no. 1: 42. https://doi.org/10.3390/jmse12010042
APA StylePark, S., Seok, J., & Hong, J. (2024). Snapping Shrimp Noise Detection Based on Statistical Model. Journal of Marine Science and Engineering, 12(1), 42. https://doi.org/10.3390/jmse12010042