|
|||||
|
|
| 基于小波测量预处理的最小二乘估计 | |
| 引用本文： | 车金锐,梁刚,陈敏茹.基于小波测量预处理的最小二乘估计[J].数学的实践与认识,2006,36(4):98-101. |
| 作者姓名： | 车金锐 梁刚 陈敏茹 |
| 作者单位： | 1. 中央国家机关工作委员会,北京,100006;河南大学计算机与信息工程学院,河南,开封,475001 2. 河南大学计算机与信息工程学院,河南,开封,475001 3. 河南大学数学与信息科学学院,河南,开封,475001 |
| 摘 要： | 以离散小波变换为工具,利用其特有的低通滤波属性和有效的抑制测量噪声的能力,将其与传统的最小二乘估计相结合,建立了一种基于小波测量预处理的改进最小二乘估计新方法,获得了比传统最小二乘估计好得多的估计结果;计算机仿真验证了算法的有效性. |
| 关 键 词： | 最小二乘估计 小波变换 阈值处理 边界处理 |
| 修稿时间： | 2003年11月1日 |
Analysis and Machine Intelligence, 1989, 11 (7): 674-693.Least Square Estimation Based On Wavelet Transform |
|
| CHE Jin-rui,LIANG Gang,CHEN Min-ru.Analysis and Machine Intelligence, 1989, 11 (7): 674-693.Least Square Estimation Based On Wavelet Transform[J].Mathematics in Practice and Theory,2006,36(4):98-101. | |
| Authors: | CHE Jin-rui LIANG Gang CHEN Min-ru |
| Abstract: | In this article,discrete wavelet transform is used as a tool to process data.By combining wavelet analysis with the traditional least square estimation,the traditional least square estimation is improved by using the low-pass filtering property and the ability of effectively restraining the measurement noises of wavelets.The method highly improved the validity of the traditional least square estimation.Computer simulation illustrated the feasibility and effectiveness. |
| Keywords: | least square estimation wavelet transform threshold processing boundary processing |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |