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- W2354427127 abstract "To solve the problem that the outputs of MEMS gyroscope contain high noise and serious random drift,a combined method for MEMS gyroscope data progressing based on wavelet thresholding denoising and FAR modeling is presented.Firstly, wavelet thresholding denoising is used to denoise and improve the signal-to-noise ratio of MEMS gyroscope output.As AR model couldn't solve the nonlinear problem of MEMS gyroscope random drift,FAR model is introduced to model MEMS gyroscope random drift.Experiments show that the proposed method could effectively suppress noise,and FAR could more accurately model and predict the random drift of MEMS gyroscope when compared to AR model." @default.
- W2354427127 created "2016-06-24" @default.
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- W2354427127 date "2010-01-01" @default.
- W2354427127 modified "2023-09-25" @default.
- W2354427127 title "A combined method for MEMS gyroscope data processing based on wavelet thresholding denoising and FAR modeling" @default.
- W2354427127 hasPublicationYear "2010" @default.
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