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- W2362232960 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." @default.
- W2362232960 created "2016-06-24" @default.
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- W2362232960 date "2011-01-01" @default.
- W2362232960 modified "2023-09-26" @default.
- W2362232960 title "Research on the Method to Reject Abnormal Data in Signal Preprocessing" @default.
- W2362232960 hasPublicationYear "2011" @default.
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