指挥控制与仿真2024，Vol.46Issue(5)：69-76,8.DOI:10.3969/j.issn.1673-3819.2024.05.010
基于改进小波阈值的声波信号去噪算法与仿真
Research on algorithm and simulation of acoustic signal denoising based on improved wavelet threshold
师雪玮 1徐大林 1刘志成 1徐志彦1
作者信息
- 1. 连云港杰瑞自动化有限公司,江苏 连云港 222061
- 折叠
摘要
Abstract
Due to the low signal-to-noise ratio of raw data,the reliability of data and the accuracy of acoustic source locali-zation are severely affected by fiber optic acoustic sensing technology.To address this issue,this study optimizes the wavelet thresholding method.Firstly,a novel thresholding function is proposed,which achieves denoising while preserving key infor-mation through shape adjustment factors.It combines the advantages of both hard and soft threshold functions and has high flexibility and controllability.Secondly,an adaptive threshold calculation method is introduced,utilizing an improved simula-ted annealing algorithm to optimize threshold selection,reducing the algorithm's dependence on threshold parameter selection.Through simulation experiments,it has been verified that this research method effectively suppresses noise in the signal and improves data availability.Compared to the original methods,this approach significantly improves the signal-to-noise ratio and demonstrates robustness in simulated tests of real signals.关键词
光纤声波传感技术/小波阈值去噪/阈值函数/模拟退火算法Key words
fiber optic acoustic sensing technology/wavelet thresholding denoising/thresholding function/simulated an-nealing algorithm分类
信息技术与安全科学引用本文复制引用
师雪玮,徐大林,刘志成,徐志彦..基于改进小波阈值的声波信号去噪算法与仿真[J].指挥控制与仿真,2024,46(5):69-76,8.
