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 multi-wavelet has many better qualities than traditional wavelet, and has different base-functions with more time frequency characteristics, it makes that multi-wavelet transform has significant advantages in signal data processing. In order to accurately obtain the deformation characteristics, this paper gives different deformation feature extraction methods with multi-wavelet and takes comparative analysis. The experimental results show that: multi-wavelet with selection of suitable pretreatment method can effectively eliminate interference components in the deformation monitoring data, and obtain better deformation features.