采用不同小波函数的SST去噪性能分析  

The Denoising Performance Analysis of SST Using Different Wavelet Functions

作　　者：颜萍[1] 李季平[1] 

机构地区：[1]南京航空航天大学理学院,南京211106

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)

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.

关 键 词：同步压缩法 信噪比系数 均方根系数 Molet小波 

分 类 号：TB551[理学—物理]