摘要
为提高超声波流量计的测量精度,分别采用Symlets小波、Mesh小波、Molet小波的同步压缩法SST对采集到的信号进行处理,并运用信噪比系数,均方根系数对三种小波的去噪性能进行评估.通过MATLAB仿真实验表明,对于超声波流量计的回波信号,采用基于Molet小波的SST法能够有效地滤除噪声信号以提高测量精度.
In order to improve the measuring accuracy of ultrasonic flowmeter, this paper processes the collected signals with SST by different wavelet of Symlets, Mesh and Molet. It e- valuates the denoising performance of three kinds of wavelet by SNR coefficient and RMS coeffi- cient. The result of simulation experiment of MATLAB shows that, for the echo signal of ultra- sonic flowmeter, the SST mehtod based on Molet wavelet can effectively filter out noise signal to improve the accuracy of measurement.
出处
《西安文理学院学报（自然科学版）》
2017年第1期1-5,共5页
Journal of Xi’an University(Natural Science Edition)
基金
青年科技创新基金(NS2010191)
关键词
同步压缩法
信噪比系数
均方根系数
Molet小波
synchro-squeezing method
signal-to-noise ratio coefficient
root mean square coef-ficient
Molet wavelet
