摘要
介绍应用小波分析理论解决时间序列观测数据的测量误差消除问题,实例证明借助离散小波分解与重构手段,可有效地从误差干扰的观测数据序列中提取大坝变形的原始特征,完成大坝的变形预测,为测量数据的误差消除引入一种有效方法。
The deformation data of dam can be described as a kind of data series relating to time. In this paper a method based on the theory of wavelet analysis was used to reduce error of the dam deformation presented. Practical results show that by using wavelet decomposition and reconstruction this method can efficiently extract weak deformation characteristics from the observed data series having strong noises.
出处
《水电能源科学》
2003年第4期11-13,共3页
Water Resources and Power
