摘要
本文介绍了Haar小波的去噪原理及其算法的特点,可应用该算法解决傅立叶变换难以对非平稳信号进行分析的难题,最终通过仿真测试说明正确的应用小波算法,可较理想的实现信号的去噪、分解和重构.
This paper introduces the denoising principle and the characteristic of algorithm of Haar wavelet. We can apply this algorithm to deal with the difficult problem which Fourier Transform can hardly analyzes the non-stationary signals. Lastly, we could get the conclusion that if we can correctly take use of the Haar wavelet algorithm, we will better realizethe denoising,decomposition and reconstruction of the signal through the simulation.
出处
《天津理工大学学报》
2009年第2期44-47,共4页
Journal of Tianjin University of Technology
基金
天津市应用基础研究计划项目(07JCZDJC09300)
关键词
HAAR小波
算法
去噪
分解
重构
Haar wavelet
algorithm
denoising
decomposition
reconstruction
