Application of wavelet transform to obtain track static power spectrum density

JIANG Shu-xia; FU Qin-yi; WEN Zhen-hua

Volume 4 Issue 2

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JIANG Shu-xia, FU Qin-yi, WEN Zhen-hua. Application of wavelet transform to obtain track static power spectrum density[J]. Journal of Traffic and Transportation Engineering, 2004, 4(2): 33-35.

Citation:

JIANG Shu-xia, FU Qin-yi, WEN Zhen-hua. Application of wavelet transform to obtain track static power spectrum density[J]. Journal of Traffic and Transportation Engineering, 2004, 4(2): 33-35.

JIANG Shu-xia, FU Qin-yi, WEN Zhen-hua. Application of wavelet transform to obtain track static power spectrum density[J]. Journal of Traffic and Transportation Engineering, 2004, 4(2): 33-35.

Citation:

JIANG Shu-xia, FU Qin-yi, WEN Zhen-hua. Application of wavelet transform to obtain track static power spectrum density[J]. Journal of Traffic and Transportation Engineering, 2004, 4(2): 33-35.

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Application of wavelet transform to obtain track static power spectrum density

1.
School of Industry, Central South Forestry University, Changsha 410007, China
2.
School of Traffic and Transportation Engineering, Central South University, Changsha 410075, China

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Author Bio:
JIANG Shu-xia(1977-), female, graduate student, 86-13677397551, jiangshuxia_2002@163.com
Received Date: 2004-01-01
Publish Date: 2004-06-25

Abstract

Abstract

Track irregularity and its static power spectrum density were decomposed into different frequency-bands with wavelet transform. Combined with processing skill of wavelet threshold value, high-frequency coefficients of wavelet were quantified, then data were reconstructed, and some interferons and noises in certain frequency-band were removed, which realized denoise and smoothing of power spectrum density. The results indicate that data processing approach based on wavelet transform can increase noise-signal ration of track static parameters, and improve visibility of track static power spectrum density.
- railway engineering,
- track,
- static power spectrum density,
- wavelet,
- noise-signal ration

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References(9)

References

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