Acta Mechanica Slovaca 2017, 21(4):60-64 | DOI: 10.21496/ams.2017.038

Application of Denoising Methods of SINS Data Based on Wavelet Transform

Efim Istomin
Izhevsk State Technical University, ul. Studencheskaya 7, Izhevsk, 426069 Russia

This paper is devoted to the application of data filtering methods based on wavelet transform (WT). The considered methods allow to restore noisy signals of inertial sensors in real time. A comparison of the discrete wavelet transform (DWT) and lifting wavelet transform (LWT) with different wavelet functions, decomposition levels and threshold filtering functions is presented.

Keywords: Discrete wavelet transform; real-time denoising; lifting scheme of wavelet transform

Published: October 31, 2017  Show citation

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Istomin, E. (2017). Application of Denoising Methods of SINS Data Based on Wavelet Transform. Acta Mechanica Slovaca21(4), 60-64. doi: 10.21496/ams.2017.038
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References

  1. Mallat, S.G. (1989). A Theory for Multiresolution Signal Decomposition: The Wavelet Representation. IEEE Transactions on Pattern Analysis and Machine Intelligence
  2. Sweldens, W. (1998). The Lifting Scheme: A Construction of Second Generation Wavelets. SIAM Journal on Mathematical Analysis Go to original source...
  3. Zhaohua, L., Mi, Y., Mao, Y. (2014). An Improved Real-Time Denoising Method Based on Lifting Wavelet Transform. Measurement science review 14.3: 152-159 Go to original source...
  4. Sweldens, W. (1996). The Lifting Scheme: A Custom-Design Construction of Biorthogonal Wavelets. Applied and Computational Harmonic Analysis
  5. Stark, H.G. (2005). Wavelets and Signal Processing: An Application-Based Introduction. N.p.
  6. Daubechies, I., Sweldens, W. (1998). Factoring Wavelet Transforms into Lifting Steps. Journal of Fourier Analysis and Applications Go to original source...
  7. Burhan, E. (2013). Comparison of Wavelet Types and Thresholding Methods on Wavelet Based Denoising of Heart Sounds. Journal of Signal and Information Processing
  8. Pivarčiová, E., Božek, P. Industrial production surety factor increasing by a system of fingerprint verification. ISEEE 2014; Sapporo City, Hokkaido; Japan; 26 April 2014 through 28 April 2014; Category number CFP1438X-PRT; Code 109001
  9. Dulam, S., Mittal, M. (2013). Implementation of Haar Wavelet through Lifting For Denoising. Int. Journal of Engineering Research and Applications 3.5: 1311-1314
  10. Frankovský, P., Hroncová, D., Delyová, I., Virgala, I. (2013).) . Modeling of dynamic systems in simulation environment MATLAB/Simulink-SimMechanics. American Journal of Mechanical Engineering, 1(7), 282-288

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