DocumentCode
190792
Title
SElection Of The Optimal Wavelet Base For ship radiated noise analysis?
Author
Lin Chen ; Zengli Liu ; Wei Wang
Author_Institution
Fac. of Inf. Eng. & Autom., Kunming Univ. of Sci. & Technol., Kunming, China
fYear
2014
fDate
5-8 Aug. 2014
Firstpage
65
Lastpage
69
Abstract
The effect of ship radiated noise analysis is closely related to wavelet basis. This paper selects bior5.5 wavelet as the optimal basis which is based on the analysis of the characteristics of the signal and the comprehensive consideration of the three screening criterion about wavelet basis. By comparing with other wavelets used for detecting the power spectral singularity of ship radiated noise, it demonstrates the optimality of the bior5.5, the approximate orthogonality of which guarantees the accuracy of the reconstructed signal and balances the support between the compact and regularity. In order to depict the true line spectrum in low-SNR signal, a signal matching method based on WT is proposed. Through different wavelets experimental comparison, only the bior5.5 still accurately extracts the features of the ship radiated noise, which indicates the feasibility and effectiveness of the method. All results prove that the bior5.5 wavelet has the high resolution of the ship radiated noise signal.
Keywords
feature extraction; noise; ships; signal reconstruction; signal resolution; wavelet transforms; approximate orthogonality; bior5.5 wavelet; power spectral singularity; reconstructed signal; screening criterion; ship radiated noise analysis; signal matching method; true line spectrum; wavelet basis; Approximation methods; Frequency-domain analysis; Marine vehicles; Noise; Wavelet analysis; Wavelet transforms; Line-Spectrum; Optimal; Resolution; Ship radiated noise; Wavelet basis;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, Communications and Computing (ICSPCC), 2014 IEEE International Conference on
Conference_Location
Guilin
Print_ISBN
978-1-4799-5272-4
Type
conf
DOI
10.1109/ICSPCC.2014.6986153
Filename
6986153
Link To Document