详细信息
Envelope extraction of underwater acoustic echo using wavelet and hilbert transforms ( EI收录)
文献类型:期刊文献
英文题名:Envelope extraction of underwater acoustic echo using wavelet and hilbert transforms
作者:Shi, Chun-Xue Zhou, Zhi-Jin Zhao, Hai-Ming Zhou, Mu-Rong
第一作者:Shi, Chun-Xue
通信作者:Shi, Chun-Xue
机构:[1] Department of Mechanical and Electrical Engineering, Changsha University, Changsha, Hunan, 410003, China; [2] Department of Mechanical and Electrical Engineering, Guizhou Institute of Technology, Guiyang, Guizhou, 550003, China; [3] Department of Mechanical and Electrical Engineering, Center South University, Changsha, Hunan, 410083, China
第一机构:Department of Mechanical and Electrical Engineering, Changsha University, Changsha, Hunan, 410003, China
年份:2020
卷号:47
期号:2
起止页码:207-213
外文期刊名:IAENG International Journal of Computer Science
收录:EI(收录号:20202608863733);Scopus(收录号:2-s2.0-85086710959)
基金:Manuscript received February 8, 2018; revised Match 23, 2020. This work was supported in part by the Chinese National Natural Science Fund Project under Grants 51374245 and 51174087, and the Hunan Natural Science Province and City Unit Fund Project under Gran 2017JJ4038.
语种:英文
外文关键词:Data handling - Extraction - Wavelet transforms
摘要:To overcome the limitation of the Hilbert transform, this paper proposes a method to extract an envelope of underwater acoustic echoes that uses the wavelet and Hilbert transforms. First, the Hilbert transform is used to extract the envelopes and the wavelet transform is applied to denoise them. A mathematical model of the entire method is established in the process. Second, a test bed for an underwater experiment featuring a data processing system, the acquisition of the echo signal, and feature extraction are described. Finally, underwater acoustic experiments are carried out, and the results show that the proposed approach can extract the echo envelope accurately and can efficiently eliminate interference from random noise. The influence of different wavelet mother functions, the threshold value, and threshold denoising functions is also discussed. ? 2020, International Association of Engineers.
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