NDLI: A novel denoising method and its application to MEMS gyro signal

Content Provider	IEEE Xplore Digital Library
Author	Lei Wang XiangHong Cheng Zhen Jia
Copyright Year	2013
Description	Author affiliation: Dept. of Instrum. Sci. & Eng., Southeast Univ., Nanjing, China (Lei Wang; XiangHong Cheng; Zhen Jia)
Abstract	A novel denoising method based on empirical mode decomposition (EMD) is put forward in this paper. With the new method, the nonlinear and non-stationary signal is decomposed into intrinsic mode functions (IMF) via EMD, then, high frequency IMFs will be processed by threshold denoising approach. The difference between the proposed method and the wavelet transform (WT) is that the EMD method can be applied to nonlinear processes and non-stationary processes adaptively. With the new method, there is no need selecting the base wavelet and it can be applied easily to analyze signals. In order to solve the problem of end effect in EMD, an approach of data extending based on minimum mean-square deviation approach is adopted in the present study. As the result of using the real MEMS signal for experiment the standard deviation was reduced to 0.027 times the original one in new ways. By analyzing the Allan variance, types of noises existing in the signal of MEMS gyro are restrained.
Sponsorship	IEEE Control Syst. Soc.
Starting Page	3248
Ending Page	3253
File Size	323160
Page Count	6
File Format	PDF
ISBN	9781467355339
e-ISBN	9781467355346
DOI	10.1109/CCDC.2013.6561507
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-05-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Micromechanical devices Wavelet transforms threshold denoising Empirical mode decomposition end effect empirical mode decomposition Noise reduction Noise intrinsic mode function MEMS Standards
Content Type	Text
Resource Type	Article

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