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Shock and Vibration
Volume 2014, Article ID 848097, 7 pages
http://dx.doi.org/10.1155/2014/848097
Research Article

Denoising of Mechanical Vibration Signals Using Quantum-Inspired Adaptive Wavelet Shrinkage

17th Department, Ordnance Engineering College, Shijiazhuang, China
24th Department, Ordnance Engineering College, Shijiazhuang, China

Received 10 November 2013; Accepted 26 March 2014; Published 9 April 2014

Academic Editor: Valder Steffen Jr.

Copyright © 2014 Yan-long Chen et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [2 citations]

The following is the list of published articles that have cited the current article.

  • Peng, Gao, and Wang, “Novel wavelet self-optimisation threshold denoising method in axle press-fit ultrasonic defect detection,” Insight: Non-Destructive Testing and Condition Monitoring, vol. 58, no. 3, pp. 145–151, 2016. View at Publisher · View at Google Scholar
  • Lixiang Duan, Yangshen Wang, Jinjiang Wang, Laibin Zhang, and Jinglong Chen, “Undecimated Lifting Wavelet Packet Transform with Boundary Treatment for Machinery Incipient Fault Diagnosis,” Shock and Vibration, vol. 2016, pp. 1–9, 2016. View at Publisher · View at Google Scholar