Multi-Scale Soft-Threshold De-Noising of MEMS Gyro by Wavelet

Author

Yang, Peipei ; Li, Qing

Author_Institution

Inst. of Intell. Control, Beijing Inf. Sci. & Technol. Univ., Beijing

fYear

2009

fDate

23-24 May 2009

Firstpage

1

Lastpage

3

Abstract

The algorithms and the applications of the wavelet transformation and wavelet analysis theory in filtering and denoising of MEMS gyro are presented in this paper. Gyro signals were decomposed into different scales by some basic wavelets to discard wavelet coefficients by soft threshold methods. Then the signal is filtered after wavelet reconstructed. Examples with actual experiment demonstrate that the method has apparent superiority. The results of the simulation indicate valid and practical on filtering and denoising of MEMS gyro´s method can also be used to process the output signal of other kinds of gyroscopes.

Keywords

filtering theory; gyroscopes; micromechanical devices; signal denoising; wavelet transforms; MEMS gyro; gyro signals; gyroscopes; multi-scale soft-threshold denoising; wavelet analysis theory; wavelet transformation; Filtering theory; Frequency; Low pass filters; Low-frequency noise; Micromechanical devices; Noise reduction; Signal processing; Wavelet analysis; Wavelet coefficients; Wavelet domain;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-3893-8

Electronic_ISBN

978-1-4244-3894-5

Type

conf

DOI

10.1109/IWISA.2009.5072969

Filename

5072969