The application of wavelet analysis in the signal processing

Ruibin Li; Baozhen Cui

doi:10.1117/12.913525

1 October 2011 The application of wavelet analysis in the signal processing

Ruibin Li, Baozhen Cui

Proceedings Volume 8285, International Conference on Graphic and Image Processing (ICGIP 2011); 82857G (2011) https://doi.org/10.1117/12.913525
Event: 2011 International Conference on Graphic and Image Processing, 2011, Cairo, Egypt

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.

Citation Download Citation

Ruibin Li and Baozhen Cui "The application of wavelet analysis in the signal processing", Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 82857G (1 October 2011); https://doi.org/10.1117/12.913525

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