摘要
遥测数据经常含有噪声和野值,针对遥测数据的处理面临的消除噪声和野值剔除问题,介绍了小波变换的基本原理以及小波消噪在信号处理方面的应用,提出了利用莱特准则和小波软阈值消噪相结合的方法进行野值剔除,利用MATLAB软件进行遥测信号噪声消除和野值剔除仿真试验,结果表明该方法具有良好的降噪效果和出色的野值剔除能力。
Since noise and outliers are often contained in telemetry data, telemetry data processing is faced with the problem of Gaussian noise removing and outliers eliminating. The basic principle of wavelet transform and the application of wavelet transform in signal processing are introduced. The application of Letts criterion combined with wavelet transform in signal processing is introduced. The results show that the method has good noise reduction effect and excellent outliers eliminating ability by using MATLAB software.
出处
《电子设计工程》
2016年第20期82-84,共3页
Electronic Design Engineering
关键词
遥测数据
小波变换
野值剔除
降噪
阈值
telemetry data
wavelet transform
outliers eliminating
noise reduction
threshold
作者简介
孙永帅（1989-），男，山东临沂人，硕士研究生。研究方向：遥控遥测。
