A wavelet selection scheme in underwater discharge signal analysis

EURASIP Journal on Advances in Signal Processing

Research

Xiaobing Zhang¹  Binjie Lu²  Liang Qiao³ 

[1] College of Weapons Engineering, Naval University of Engineering, Jiefang Avenue, 430033, Wuhan, Hubei, China;College of Weapons Engineering, Naval University of Engineering, Jiefang Avenue, 430033, Wuhan, Hubei, China;The 92279 Unit of the PLA, Lai Street, 264003, Yantai, Shandong, China;School of Electrical and Electronic Engineering, Baoji University of Arts and Sciences, Baoguang Road, 721016, Baoji, Shaanxi, China;

关键词: Signal processing;    Wavelet;    Underwater discharge;    Time–frequency analysis;    De-noising;   

DOI  :  10.1186/s13634-023-01065-4

 received in 2023-03-30, accepted in 2023-10-09,  发布年份 2023

来源: Springer

【 摘 要 】

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.

【 授权许可】

CC BY   
© Springer Nature Switzerland AG 2023

【 图 表 】

Fig. 1

40517_2023_273_Article_IEq2.gif

Fig. 2

42004_2023_1025_Article_IEq7.gif

Fig. 9

Fig. 9

Fig. 4

Fig. 1

Fig. 4

Fig. 3

Fig. 4

41512_2023_158_Article_IEq26.gif

Fig. 2

Fig. 2

12951_2017_270_Article_IEq3.gif

Fig. 1

41512_2023_158_Article_IEq20.gif

Fig. 1

Fig. 8

Fig. 6

Fig. 2

Fig. 2

Fig. 6

Fig. 1

Fig. 6

12951_2015_155_Article_IEq6.gif

41512_2023_158_Article_IEq9.gif

Fig. 3

12867_2016_60_Article_IEq1.gif

Fig. 9

Fig. 1

Fig. 4

Fig. 3

Fig. 8

Fig. 4

12951_2015_155_Article_IEq1.gif