基于改进小波阈值的声波信号去噪算法与仿真OACSTPCD
Research on algorithm and simulation of acoustic signal denoising based on improved wavelet threshold
光纤声波传感技术由于原始数据信噪比较低,数据可靠性和声波源定位精度受到严重影响.为解决这一问题,对小波阈值去噪方法进行了优化:首先,提出了一种新的阈值函数,通过形状调整因子实现去噪的同时保留了关键信息,兼具硬阈值和软阈值函数的优点,具有较高的灵活性和可控性.其次,引入自适应阈值计算方法,采用改进模拟退火算法优化阈值选择,降低算法对参数选择的依赖.通过仿真实验验证,该方法有效抑制了信号中的噪声,提升了数据可用性.与原始方法相比,该方法显著提高了信噪…查看全部>>
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 threshol…查看全部>>
师雪玮;徐大林;刘志成;徐志彦
连云港杰瑞自动化有限公司,江苏 连云港 222061连云港杰瑞自动化有限公司,江苏 连云港 222061连云港杰瑞自动化有限公司,江苏 连云港 222061连云港杰瑞自动化有限公司,江苏 连云港 222061
计算机与自动化
光纤声波传感技术小波阈值去噪阈值函数模拟退火算法
fiber optic acoustic sensing technologywavelet thresholding denoisingthresholding functionsimulated an-nealing algorithm
《指挥控制与仿真》 2024 (5)
69-76,8
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