摘要
为了有效滤除信号中的噪声,在提出的软、硬阈值函数去噪方法的基础上,结合已有的改进小波阈值去噪算法,新构造一种小波阈值函数。文中新构造的阈值函数结合软、硬阈值函数的优点,有较好的降噪效果和灵活性。通过Matlab仿真对比几种算法的信噪比(SNR)和均方误差(MSE)去噪指标,结果表明,新构造阈值函数的去噪指标优于传统阈值函数,具有一定的实用价值。
In order to effectively eliminate the noise in the signal,a wavelet threshold function is constructed on the basis of soft and hard threshold function denoising methods, and in combination with the existing improved wavelet threshold denoising algorithm. The threshold function proposed in this paper combines the advantages of the soft and hard threshold function,and has better denoising effect and flexibility. The signal . to . noise ratio (SNR) and mean square error (MSE) denoising indexes of several algorithms were compared in Matlab simulation experiments. The experimental results show that the denoising indexes of the newly.constructed threshold function are superior to those of the traditional threshold function,and have a certain practical value.
作者
崔公哲
张朝霞
杨玲珍
王娟芬
CUI Gongzhe;ZHANG Zhaoxia;YANG Lingzhen;WANG Juanfen(MOE Key Laboratory of Advanced Transducers and Intelligent Control System,Taiyuan University of Technology,Taiyuan 030024,China;College of Physics and Optoelectronics,Taiyuan University of Technology,Taiyuan 030024,China)
出处
《现代电子技术》
北大核心
2019年第19期50-53,58,共5页
Modern Electronics Technique
基金
国家自然科学基金面上项目(61575137)
山西省回国留学人员科研资助项目(2017-031)~~
关键词
小波变换
阈值去噪
噪声滤除
去噪指标
阈值函数
仿真分析
wavelet transform
threshold de.noising
noise filtering
denoising index
threshold function
simulation analysis
