| 摘要: |
| 采用回归分析直接处理大坝观测数据的方法容易受到噪声影响，针对这一情况，提出先对观测数据进行小波滤波，然后再用一元线性回归分析对滤波后信号进行处理的新方法。仿真结果表明，与直接采用一元线性回归分析法相比，该方法得到的待定系数更为准确。 |
| 关键词: 一元线性回归分析 小波滤波 大坝观测数据 |
| DOI： |
| 分类号: |
| 基金项目:高等学校优秀青年教师教学科研奖励计划项目(2001-282) |
|
| Application of wavelet denoising in dam measured data |
|
|
| Abstract: |
| The method of using directly regression analysis to deal with dam measured data is easily disturbed by noises.In the paper a new method is proposed,where the measurement data are first denoised by the wavelet,and then the denoised signals are disposed by the one variant linear regression analysis.Simulation results show that,compared with using one variant linear regression direct analysis,our method can get more accurate unknown coefficients. |
| Key words: one variant linear regression analysis wavelet denoising dam measured data |
