小波
信号(编程语言)
干扰(通信)
噪音(视频)
超声波传感器
降噪
算法
信号处理
信噪比(成像)
计算机科学
声学
工程类
电子工程
人工智能
物理
数字信号处理
电信
频道(广播)
程序设计语言
图像(数学)
作者
Hu Li,Songsong Li,Jinsheng Sun,Bin Huang,Jiaqi Zhang,Mingyang Gao
出处
期刊:Measurement
[Elsevier]
日期:2024-02-01
卷期号:226: 114143-114143
被引量:1
标识
DOI:10.1016/j.measurement.2024.114143
摘要
To overcome the problem of noise interference in the ultrasonic echo signal received by the probe in ultrasonic nondestructive testing, a method of ultrasonic signal processing using the jointed wavelet threshold function of GWO-VMD (Grey Wolf Optimisation, Variational Mode Decomposition) is proposed. The method first uses the GWO algorithm to optimise the VMD parameters to find the optimal parameter combination penalty factor α and decomposition modulus number K, and then uses the correlation coefficient method to differentiate between the desired signal and noise components after decomposition to obtain the intrinsic mode function (IMF) components. Secondly, the noise components are processed by combining the improved wavelet threshold function algorithm, and lastly, each modal component is restored to produce a denoised signal. Experimental results show that the method improves the signal-to-noise ratio (SNR) by 2.55%, reduces the root mean square error (RMSE) by 3.8%, preserves more useful information, and is more effective in denoising.
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