基于 MATLAB 与小波进行沉降数据处理与分析

结合小波分析的基本原理和MATLAB强大的数据处理能力与图形拟合能力，采用了小波时间序列预测模型与MATLAB中自带的拟合工具箱来进行沉降数据的拟合，并将该方法应用于黄冈市某大桥软土路基沉降监测的预测工作中。然后，对两种拟合方法进行了预测效果对比。从所得的结果表明：小波处理后的模型具有抗差干扰和粗差探测、剔除的优点，同时使用曲线拟合工具箱的拟合模型比常规模型更方便快捷且预测的效果也很高，两种模型结合使用会较大地增加其应用价值。

Settlement Data Processing and Analysis Based on MATLAB and Wavelet

The paper combines the basic principles of the wavelet analysis and MATLAB powerful data processing capability and graphics fitting ability Fitting Toolbox , using wavelet analysis and time series prediction model and the MATLAB built -in fitting tool-box for settlement data fitting .The method is applied to bridge soft soil roadbed subsidence monitoring in the prediction of work in Huanggang .In two kinds of fitting method of prediction effect comparison , the results show that the wavelet processing model has poor resistance to interference and gross error detection and elimination , at the same time the curve fitting toolbox fitting model is more con-venient than conventional models .The results show that the combination of the two models will greatly increase its value .