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- W2364656960 abstract "In dynamic measurements,it is necessary to build a mathematical model for a sensor's dynamic characteristic to obtain accurate measurement data,and the sensor's dynamic characteristic can be determined by system identification. However,the noises in measurement may produce adverse influences to system identification,and cause error between the identified characteristic and the real one.To reduce these disadvantageous influences,sensor output signal polluted by additive noise are processed by hybrid filter with polynomial FIR predictors and median(PMH).After the signal is denoised by PMH,the mathematical model of sensor's dynamic characteristic is obtained by system identification.The study shows that the presented approach can reduce the influences of noise.This approach has been applied to the identification of the characteristic of a thin-film thermocouple." @default.
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- W2364656960 date "2007-01-01" @default.
- W2364656960 modified "2023-09-26" @default.
- W2364656960 title "Identification of sensor's dynamic characteristic based on denoising by polynomial FIR predictors" @default.
- W2364656960 hasPublicationYear "2007" @default.
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