A wavelet selection scheme in underwater discharge signal analysis
Abstract The analysis of underwater discharge signals is of great significance for its application. Wavelet-based de-noising and analysis technology is an effective means to study underwater discharge signals. The selection of wavelets is the key to the accuracy of wavelet analysis. A scheme of wave...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2023-10-01
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| Series: | EURASIP Journal on Advances in Signal Processing |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13634-023-01065-4 |
| _version_ | 1797451070718345216 |
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| author | Xiaobing Zhang Binjie Lu Liang Qiao |
| author_facet | Xiaobing Zhang Binjie Lu Liang Qiao |
| author_sort | Xiaobing Zhang |
| collection | DOAJ |
| description | Abstract The analysis of underwater discharge signals is of great significance for its application. Wavelet-based de-noising and analysis technology is an effective means to study underwater discharge signals. The selection of wavelets is the key to the accuracy of wavelet analysis. A scheme of wavelet selection is provided in this paper. Based on the signal characteristics and actual noise, the reference target signal and noisy signal are constructed to ensure the accuracy of wavelet performance evaluation. Cross-correlation coefficient, root mean square error, signal-to-noise ratio, and smoothness are chosen as evaluation indexes and fused by the coefficient of variation method. The selected optimal wavelet is used to process the underwater wire-guided discharge signals. The results show that the scheme is feasible and practical. |
| first_indexed | 2024-03-09T14:49:39Z |
| format | Article |
| id | doaj.art-bead60bff73d41ff95c5983dc6f697fe |
| institution | Directory Open Access Journal |
| issn | 1687-6180 |
| language | English |
| last_indexed | 2024-03-09T14:49:39Z |
| publishDate | 2023-10-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | EURASIP Journal on Advances in Signal Processing |
| spelling | doaj.art-bead60bff73d41ff95c5983dc6f697fe2023-11-26T14:33:11ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61802023-10-012023111510.1186/s13634-023-01065-4A wavelet selection scheme in underwater discharge signal analysisXiaobing Zhang0Binjie Lu1Liang Qiao2College of Weapons Engineering, Naval University of EngineeringCollege of Weapons Engineering, Naval University of EngineeringSchool of Electrical and Electronic Engineering, Baoji University of Arts and SciencesAbstract The analysis of underwater discharge signals is of great significance for its application. Wavelet-based de-noising and analysis technology is an effective means to study underwater discharge signals. The selection of wavelets is the key to the accuracy of wavelet analysis. A scheme of wavelet selection is provided in this paper. Based on the signal characteristics and actual noise, the reference target signal and noisy signal are constructed to ensure the accuracy of wavelet performance evaluation. Cross-correlation coefficient, root mean square error, signal-to-noise ratio, and smoothness are chosen as evaluation indexes and fused by the coefficient of variation method. The selected optimal wavelet is used to process the underwater wire-guided discharge signals. The results show that the scheme is feasible and practical.https://doi.org/10.1186/s13634-023-01065-4Signal processingWaveletUnderwater dischargeTime–frequency analysisDe-noising |
| spellingShingle | Xiaobing Zhang Binjie Lu Liang Qiao A wavelet selection scheme in underwater discharge signal analysis EURASIP Journal on Advances in Signal Processing Signal processing Wavelet Underwater discharge Time–frequency analysis De-noising |
| title | A wavelet selection scheme in underwater discharge signal analysis |
| title_full | A wavelet selection scheme in underwater discharge signal analysis |
| title_fullStr | A wavelet selection scheme in underwater discharge signal analysis |
| title_full_unstemmed | A wavelet selection scheme in underwater discharge signal analysis |
| title_short | A wavelet selection scheme in underwater discharge signal analysis |
| title_sort | wavelet selection scheme in underwater discharge signal analysis |
| topic | Signal processing Wavelet Underwater discharge Time–frequency analysis De-noising |
| url | https://doi.org/10.1186/s13634-023-01065-4 |
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