Denoising Method Based on Sparse Representation for WFT Signal
Joint Authors
Lin, Guoyu
Chen, Xu
Zhang, Yuxin
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-02-13
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Affected by external noise and various nature disturbances, Wheel Force Transducer (WFT) signal may be completely submerged, and the sensitivity and the reliability of measurement can be strongly decreased.
In this paper, a new wavelet packet denoising method based on sparse representation is proposed to remove the noises from WFT signal.
In this method, the problem of recovering the noiseless signal is converted into an optimization problem of recovering the sparsity of their wavelet package coefficients, and the wavelet package coefficients of the noiseless signals can be obtained by the augmented Lagrange optimization method.
Then the denoised WFT signal can be reconstructed by wavelet packet reconstruction.
The experiments on simulation signal and WFT signal show that the proposed denoising method based on sparse representation is more effective for denoising WFT signal than the soft and hard threshold denoising methods.
American Psychological Association (APA)
Chen, Xu& Lin, Guoyu& Zhang, Yuxin. 2014. Denoising Method Based on Sparse Representation for WFT Signal. Journal of Sensors،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1042911
Modern Language Association (MLA)
Chen, Xu…[et al.]. Denoising Method Based on Sparse Representation for WFT Signal. Journal of Sensors No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-1042911
American Medical Association (AMA)
Chen, Xu& Lin, Guoyu& Zhang, Yuxin. Denoising Method Based on Sparse Representation for WFT Signal. Journal of Sensors. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1042911
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1042911