基于小波变换的超声波含噪信号处理

超声波流量计测量气体或液体流量时,传感探头接收的超声波信号中夹杂了大量噪声,它将会影响信号的分析和流量的测量.而传统方法无法刻画超声波信号的非平稳特性并准确去噪,为克服传统方法的不足,采用小波变换理论,结合阈值去噪法,通过Matlab仿真实验,可得去噪后的超声波信号,从而验证小波变换可用于超声波信号去噪的处理.

Ultrasonic Noisy Signal Processing Based on Wavelet Transform

When measuring the gas or liquid flow by ultrasonic flowmeter,the ultrasonic signal received by sensing probe with lots of noise,which will affect the analysis of signal and the measurement of flow.But the traditional methods can＇t characterize the non-stationary characteristics of ultrasonic signal and denoising accurately.In order to overcome the shortcomings of traditional methods,using wavelet transform theory and combined with threshold denoising method through Matlab simulation experiment,can get the denoising ultrasonic signal,to verify that wavelet transform can use for ultrasonic noisy signal processing.