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[1] Ji Xunsheng, Wang Shourong, Xu Yishen, et al. Application of fast wavelet transformationin signal processing of MEMS gyroscope [J]. Journal of Southeast University (English Edition), 2006, 22 (4): 510-513. [doi:10.3969/j.issn.1003-7985.2006.04.014]
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Application of fast wavelet transformationin signal processing of MEMS gyroscope()
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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
22
Issue:
2006 4
Page:
510-513
Research Field:
Automation
Publishing date:
2006-12-30

Info

Title:
Application of fast wavelet transformationin signal processing of MEMS gyroscope
Author(s):
Ji Xunsheng1 2 Wang Shourong1 Xu Yishen1
1 School of Instrument Science and Engineering, Southeast University, Nanjing 210096, China
2 School of Communication & Control, Southern University, Wuxi 214063, China
Keywords:
wavelet transformation signal processing gyroscope threshold
PACS:
TP206+.1
DOI:
10.3969/j.issn.1003-7985.2006.04.014
Abstract:
Decomposition and reconstruction of Mallat fast wavelet transformation(WT)is described.A fast algorithm, which can greatly decrease the processing burden and can be very easy for hardware implementation in real-time, is analyzed.The algorithm will no longer have the processing of decimation and interpolation of usual WT.The formulae of the decomposition and the reconstruction are given.Simulation results of the MEMS(micro-electro mechanical systems)gyroscope drift signal show that the algorithm spends much less processing time to finish the de-noising process than the usual WT.And the de-noising effect is the same.The fast algorithm has been implemented in a TMS320C6713 digital signal processor.The standard variance of the gyroscope static drift signal decreases from 78.435 5(°)/h to 36.763 5(°)/h.It takes 0.014 ms to process all input data and can meet the real-time analysis of signal.

References:

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Memo

Memo:
Biographies: Ji Xunsheng(1969—), male, graduate;Wang Shourong(corresponding author), male, doctor, professor, srwang@seu.edu.cn.
Last Update: 2006-12-20