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由于多小波具有单小波所不能同时具备的多种优良性质,同时拥有多个时频特征有所差异的基函数,使得多小波变换在信号数据处理等方面具有显著优势。为了准确获取变形特征,给出不同多小波在变形数据处理中的应用对比分析。实验结果表明,不同多小波选择合适的预处理方法,有效去除了变形监测数据里的干扰成分,实现变形趋势的提取,取得好的信号消噪效果,具有好的应用效果。
Because multiwavelets have many excellent properties that single wavelet can not have at the same time, and have multiple basis functions with different time-frequency characteristics, multi-wavelet transform has significant advantages in signal data processing. In order to obtain the deformation characteristics accurately, a comparative analysis of the application of different multiwavelets in deformation data processing is given. Experimental results show that the selection of suitable pretreatment methods for different multiwavelets can effectively remove the interference components in the deformation monitoring data, achieve the deformation trend extraction, and achieve good signal de-noising effect with good application effects.