摘要
数字滤波器是微机保护装置里十分重要的部分,特别是在故障暂态过程里,信号往往包含大量谐波,而这时不适宜应用不连续频谱的傅里叶级数分析法。把小波分析技术运用于信号的算法分析和数字滤波,能够有效地分离谐波成分。因而,采用多分辨率分析的特性以及紧支撑正交小波的变换理论开展研究,设计了一种信号数字滤波的算法,并且经过仿真对方案进行了对比与校验。进行仿真结果分析,表明采用小波变换滤波的方案可以有效滤去噪声、频率波动、直流衰减分量、非整数次的谐波。
Digital filter is a very important part of microprocessor protection device,especially in the fault transient process.The signal often contains a large number of harmonics,and it is not suitable to use Fourier series analysis method of discontinuous spectrum at this time.The application of wavelet analysis technology in signal algorithm analysis and digital filtering can effectively separate harmonic components.Therefore,using the characteristics of multiresolution analysis and the theory of compactly supported orthogonal wavelet transform,a signal digital filtering algorithm is designed.The scheme is compared and verified by simulation.The simulation results show that the scheme of wavelet transform filtering can effectively filter noise,frequency jitter,and direct current component and non-integer harmonics.
作者
谢维
王新刚
洪利
XIE Wei;WANG Xingang;HONG Li(School of Electronic Science and Control Engineering,Institute of Disaster Prevention,Yanjiao 065201,China)
出处
《微型电脑应用》
2022年第12期11-13,共3页
Microcomputer Applications
基金
中央高校基本科研业务费专项项目(ZY20210313)
廊坊市科学技术研究与发展计划项目(2022011015)
2020—2021河北省高等教育教学改革研究与实践项目(2020GJJG353)。
关键词
多分辨率分析
数字滤波器
小波变换
仿真
multiresolution analysis
digital filter
wavelet transform
simulation
