摘要
信号噪声的方差越大,信噪分离越困难,这样会降低小波在去噪方面的性能,使小波去噪得不到充分的发挥。为了解决这一问题,本文介绍一种方法:采用模糊控制滤波器对含噪信号进行预处理,从而降低白噪声的方差;然后用软、硬阈值法分别对处理过的信号进行去噪。仿真实验表明,去噪后的信号的信噪比和均方误差均优于单纯使用软、硬阈值算法,具有很好的去噪效果。
The greater is the variance of signal noise, the more difficult is signal to noise separation, which will reduce the performance of eliminating noise. In order to solve this problem, this article described a method： using fuzzy control filter to deal with noisy signal first, thereby reducing the variance of white noise ; then using the soft and hard threshold methods to remove the noise of processed signal. Simulation results showed that SNR and MSE were both better than soft and hard threshold simply, having good denoising effect.
出处
《测绘科学》
CSCD
北大核心
2011年第5期179-180,242,共3页
Science of Surveying and Mapping
关键词
变形监测
小波分析
阈值去噪
模糊控制滤波器
deformation monitoring
wavelet analysis
threshold de-noising
Fuzzy control filter
