Title :
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
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;
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
DOI :
10.1109/IWISA.2009.5072969
