| 基于小波的回归分析 |
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| 引用本文： | 冯清玲,曲国庆,苏晓庆.基于小波的回归分析[J].山东理工大学学报,2007,21(3):40-42. |
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| 作者姓名： | 冯清玲 曲国庆 苏晓庆 |
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| 作者单位： | 中国石油大学地球资源与信息学院 山东东营257061(冯清玲)，山东理工大学建筑工程学院 山东淄博255049(曲国庆，苏晓庆) |
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| 摘 要： | 在变形回归分析处理前消除或减弱误差的影响,可以有效地改善回归分析的质量.通过一元回归试验对比可以看出,经过小波消噪以后,线性关系之外因素引起的数据波动性减小,拟合的效果得到了改善,线性关系显著增强.
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| 关 键 词： | 小波分析 回归分析 消噪 奇异性 |
| 文章编号： | 1672-6197（2007）05-0040-03 |
| 修稿时间： | 2006-12-17 |
The regression analysis based on wavelet |
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| FENG Qing-ling,QU Guo-qing,SU Xiao-qing.The regression analysis based on wavelet[J].Journal of Shandong University of Technology:Science and Technology,2007,21(3):40-42. |
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| Authors: | FENG Qing-ling QU Guo-qing SU Xiao-qing |
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| Abstract: | The method of regression analysis is an important tool for deformation.The observed signal of deformation is often non-stationary. It possibly includes spike signal,mutation signal and non-stationary white noise.They often have high frequencies.The method of wavelet can detect error and remove it.It can eliminate or minimize the error's influence before deformation data analysis by regression.It can efficiently improve the quality of regression analysis.By comparison tests with monolinear regression,it can be found that the volatilities of data caused by factors without linear relation are reduced.The effect of fitting is improved.Linear relation is enhanced. |
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| Keywords: | wavelet analysis regression analysis de-noising singularity |
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