Denoising of Mechanical Vibration Signals Using Quantum-Inspired Adaptive Wavelet Shrinkage
Joint Authors
Li, Bing
Chen, Yan-long
Zhang, Pei-lin
Wu, Ding-hai
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-09
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
The potential application of a quantum-inspired adaptive wavelet shrinkage (QAWS) technique to mechanical vibration signals with a focus on noise reduction is studied in this paper.
This quantum-inspired shrinkage algorithm combines three elements: an adaptive non-Gaussian statistical model of dual-tree complex wavelet transform (DTCWT) coefficients proposed to improve practicability of prior information, the quantum superposition introduced to describe the interscale dependencies of DTCWT coefficients, and the quantum-inspired probability of noise defined to shrink wavelet coefficients in a Bayesian framework.
By combining all these elements, this signal processing scheme incorporating the DTCWT with quantum theory can both reduce noise and preserve signal details.
A practical vibration signal measured from a power-shift steering transmission is utilized to evaluate the denoising ability of QAWS.
Application results demonstrate the effectiveness of the proposed method.
Moreover, it achieves better performance than hard and soft thresholding.
American Psychological Association (APA)
Chen, Yan-long& Zhang, Pei-lin& Li, Bing& Wu, Ding-hai. 2014. Denoising of Mechanical Vibration Signals Using Quantum-Inspired Adaptive Wavelet Shrinkage. Shock and Vibration،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1048015
Modern Language Association (MLA)
Chen, Yan-long…[et al.]. Denoising of Mechanical Vibration Signals Using Quantum-Inspired Adaptive Wavelet Shrinkage. Shock and Vibration No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-1048015
American Medical Association (AMA)
Chen, Yan-long& Zhang, Pei-lin& Li, Bing& Wu, Ding-hai. Denoising of Mechanical Vibration Signals Using Quantum-Inspired Adaptive Wavelet Shrinkage. Shock and Vibration. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1048015
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1048015