@inproceedings{80df36c04515483195c16442ea5e2cc3,
title = "Feature extraction of underwater target ultrasonic echo based on wavelet transform",
abstract = "Ultrasonic detection has been widely used in underwater detectoscopes as an important method for underwater detection. Feature extraction of echo signal time-delay and amplitude is the main task of processing underwater ultrasonic signal. Underwater target ultrasonic echo signal is influenced by reverberation and noise from the sea and system itself, reverberation interference of signal background is the main difficulty for target echo detection. So we use denoising algorithm to denoise echo signal. At first this paper denoises the measured weighted background clutter data using wavelet threshold denoising method, then the paper extracts breaking points of echo signal through wavelet transform, at last the paper makes an envelope extraction using Hilbert transform combined with wavelet transform methods, and acquires the feature information of echo signal amplitude.",
keywords = "Breaking points extraction, Envelope extraction, Wavelet denoising",
author = "Wu, {Zheng Long} and Jie Li and Guan, {Zhen Yu}",
year = "2014",
doi = "10.4028/www.scientific.net/AMM.599-601.1517",
language = "English",
isbn = "9783038351924",
series = "Applied Mechanics and Materials",
publisher = "Trans Tech Publications Ltd.",
pages = "1517--1522",
booktitle = "Frontiers of Manufacturing Science and Measuring Technology IV",
address = "Switzerland",
note = "4th International Conference on Frontiers of Manufacturing Science and Measuring Technology, ICFMM 2014 ; Conference date: 19-06-2014 Through 20-06-2014",
}