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Proceedings Paper

Steering wheel angle filtering based on wavelet transform
Author(s): Wei Chen; Xu Li; Xiang Song; Jiahe Yu; Weigong Zhang
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Paper Abstract

Traditional filtering methods can't eliminate the effect of interfering signals on steering wheel angle and extract useful signal effectively.Regarding to this, a new method based on wavelet transform is presented.According to the Mallat algorithm, firstly, the signal is decomposed into seven layers by selecting db7 wavelet.Aiming at every layer detail signal after wavelet decomposing, the soft-threshold filtering method is employed to eliminate noises, then the inverse wavelet transform is used to reconstruct the filtered signal.The experimental results show that this method can effectively eliminate awful noises and achieve a good performance.

Paper Details

Date Published: 28 October 2011
PDF: 6 pages
Proc. SPIE 8205, 2011 International Conference on Photonics, 3D-Imaging, and Visualization, 82051B (28 October 2011); doi: 10.1117/12.905932
Show Author Affiliations
Wei Chen, Southeast Univ. (China)
Xu Li, Southeast Univ. (China)
Xiang Song, Southeast Univ. (China)
Jiahe Yu, Southeast Univ. (China)
Weigong Zhang, Southeast Univ. (China)

Published in SPIE Proceedings Vol. 8205:
2011 International Conference on Photonics, 3D-Imaging, and Visualization
Egui Zhu, Editor(s)

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