信号预处理中错点剔除方法的研究 |
| |
引用本文: | 赖素建,靳晓雄,彭为,何剑峰.信号预处理中错点剔除方法的研究[J].佳木斯工学院学报,2011(3):333-336,343. |
| |
作者姓名: | 赖素建 靳晓雄 彭为 何剑峰 |
| |
作者单位: | 同济大学汽车学院,上海201804 |
| |
摘 要: | 对工程信号进行错点剔除,是信号预处理中的一项重要内容.本文分析了统计学中用于错点剔除的肖维勒准则、狄克逊准则、格拉布斯准则和拉依达准则,针对上述各项准则在处理大样本信号中的局限性,引入一种新式错点剔除方法,并用拉依达准则与此方法对一段实际工程信号进行处理对比,结果表明,新式错点剔除方法能够更好地剔除错点.
|
关 键 词: | 信号预处理 准则 错点剔除 |
Research on the Method to Reject Abnormal Data in Signal Preprocessing |
| |
Authors: | LAI Su-jian JIN Xiao-xiong PENG Wei HE Jian-feng |
| |
Affiliation: | (Tongji University,Shanghai 201804,China) |
| |
Abstract: | To filter out the abnormal data from engineering signal is important in signal preprocessing.This paper introduced the statistical methods which are used to reject the abnormal data,including the Chauvenent's Criterion,the Dixon's Criterion,Grubbs' Criterion and the PAu-Ta criterion.There are limitations in using above criterions to process large sample signal,so this paper introduced a new method to reject the abnormal data,then use PAu-Ta criterion and this new method to process an actual engineering signal.The result indicates that the new method can better solve the problem. |
| |
Keywords: | signal preprocessing criterion reject the abnormal data |
本文献已被 维普 等数据库收录! |
|