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中文摘要：
将实际观测到的一组烟囱垂直位移监测数据作为通常意义下的时序信号，并对其进行小波变换分析．利用基于平移不变的快速小波去噪算法，对变形监测数据进行去噪处理，对模拟数据和实测数据的处理结果表明，基于平移不变的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，剔出变形监测数据中的噪声，识别被噪声湮没的有用信号．
英文摘要：
As time series signal, the observed vertical displacement deformation data of chimneys will be carried on the wavelet transformation analysis. Based on the translation invariance fast de-noising algorithm of wavelet, the deformation monitoring data is de-noising. Indicated as the processing result of the simulated data and the measured data and based on translation invariance, the traditional threshold value is compared. The translation invariance can effectively remove the Pseudo-Gibbs phenomenon, enhance the signal to noise ratio, eliminate noise in the deformation monitoring data, distinguish useful signal which is neglected by the noise.
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