摘要
利用基于非线性小波变换阈值去噪算法,对变形监测数据进行去噪处理,对模拟数据的处理结果表明,基于非线性小波变换阈值去噪方法与传统的阈值去噪方法相比,能有效地去除伪吉布斯现象,提高信噪比,剔除变形监测数据中的噪声,识别被噪声疏忽的有用信号。
Based on the denoising of nonlinear wavelet transform threshold value method, the deformation monitoring data is denoising. Indicated as the processing result of the simulated data and based on denoising of nonlinear wavelet transform threshold value method, the traditional threshold value is compared. The denoising of nonlinear wavelet transform threshold value method can effectively remove the PseudoGibbs phenomenon, enhance the signal to noise ratio, eliminate noise in the deformation monitoring data, distinguish useful signal which is neglected by the noise.
出处
《山西建筑》
2008年第18期120-122,共3页
Shanxi Architecture
关键词
小波
非线性小波变换阈值去噪法
变形监测
wavelet, denoising of nonlinear wavelet transform threshold value method, deformation monitoring
