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小波变换在MEMS陀螺仪去噪声中的应用
引用本文:吉训生,王寿荣.小波变换在MEMS陀螺仪去噪声中的应用[J].传感技术学报,2006,19(1):150-152.
作者姓名:吉训生  王寿荣
作者单位:1. 东南大学,仪器科学与工程系,南京,210096;江南大学,信控学院,无锡,214063
2. 东南大学,仪器科学与工程系,南京,210096
摘    要:在介绍小波分析理论的基础上,本文采用双正交静态小波基对陀螺仪去漂后的残差信号进行不同尺度的分解.通过不同小波基滤波效果的比较,发现双正交样条小波具有较好的去噪性,其分解和重建滤波器系数也十分简单,验证了小波变换在陀螺仪测漂信号去噪中的可行性.

关 键 词:小波变换  滤波器组  陀螺漂移  多分辨率分析
文章编号:1005-9490(2006)01-0150-03
收稿时间:2005-06-13
修稿时间:2005年6月13日

Application of the Wavelet Transformation in the MEMS Gyroscope De-noise
JI Xun-sheng,WANG Shou-rong.Application of the Wavelet Transformation in the MEMS Gyroscope De-noise[J].Journal of Transduction Technology,2006,19(1):150-152.
Authors:JI Xun-sheng  WANG Shou-rong
Affiliation:1 Department of Instrument Science and Engineering, Southeast University, Nanjing 210096 China 2 School of Communication&Control, Southern University, Wuxi , Jiangsu 214063 China
Abstract:The wavelet theory was introduced. The residual signal from the gyroscope was decomposed by the different scale biorthogonal stationary wavelet base. The result showed that the Biorl. 1 wavelet had the better performance. The coefficients of the decomposing filter and the rebuilding filter were also very simple. It proved that the wavelet transformation was feasible in the de-noising of the gyroscope drifting signal.
Keywords:wavelet transform  filter group  gyro drift  multi-resolution analysis
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