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Proceedings Paper

The application of wavelet analysis in the signal processing
Author(s): Ruibin Li; Baozhen Cui
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Paper Abstract

This paper introduces applications of wavelet analysis in mechanical signal processing based on the therory wavelet analysis and wavelet recognition. It can effectively distinguish different running states of rolling bearing through picking up character of scale-energy. It is one of the important characteristics of signal singularity and irregular mutation that it includes important information. Analysis singularity and the site of singularity using wavelet transform is more effective because wavelet transform has space localization property. In wavelet analysis, the low frequency part of signal represents the development trend of the signal. It corresponds to the maximum scale wavelet coefficients. With the increase of scale, the resolution of time, the development trend of the signal can be more apparent, so wavelet analysis on display the development trend of signal is very useful. Along with the computer hardware technology and specially the DSP technology development, it will provide powerful safeguard for wavelet analysis using project.

Paper Details

Date Published: 1 October 2011
PDF: 5 pages
Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 82857G (1 October 2011); doi: 10.1117/12.913525
Show Author Affiliations
Ruibin Li, TaiYuan Univ. of Technology (China)
Baozhen Cui, North Univ. of China (China)


Published in SPIE Proceedings Vol. 8285:
International Conference on Graphic and Image Processing (ICGIP 2011)
Yi Xie; Yanjun Zheng, Editor(s)

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