太赫兹科学与电子信息学报Issue(5)：782-786,5.DOI:10.11805/TKYDA201305.0782
基于小波分析的振动信号阈值去噪新方法
A new method of vibration signal threshold denoising based on wavelet analysis
段玉波 1范超 1刘继承1
作者信息
- 1. 东北石油大学 电气信息工程学院，黑龙江 大庆 163318
- 折叠
摘要
Abstract
There exist some shortcomings in traditional soft and hard threshold denoising methods, such as a constant deviation between the wavelet coefficients before and after denoising, and the threshold function is not continuous etc., therefore these methods could not achieve desired denoising effect. A new threshold denoising method is presented based on the traditional hard and soft threshold methods. Denoising experiments are performed by using three threshold functions in Matlab environment. The signal to noise ratio and the size of the mean square error obtained by the three methods are compared. Simulation results show that the new threshold function not only bears good continuity, but also greatly reduces the constant deviation between the estimated wavelet coefficients and the true wavelet coefficients in the soft threshold function,which further confirms that the new threshold function can remove the white noise more flexibly and effectively.关键词
小波系数/恒定偏差/阈值函数/白噪声Key words
wavelet coefficients/constant deviation/threshold function/white noise分类
信息技术与安全科学引用本文复制引用
段玉波,范超,刘继承..基于小波分析的振动信号阈值去噪新方法[J].太赫兹科学与电子信息学报,2013,(5):782-786,5.
