The influence of denoising on the subgrade settlement fitting curve

DOI

10.2991/iccte-16.2016.56How to use a DOI?

Keywords

wavelet; denoising; subgrade; settlement; correlation coefficient

Abstract

High speed railway must strictly control the settlement deformation. It has important significance to explore reasonable methods of noise reduction for the settlement curve, in order to improve the reliability of settlement prediction. Wavelet analysis is feasible to denoise the observation data. The development trend of settlement curve before and after denoising is consistent. While removing the noise from the original data, the validity of the original data is preserved. Wavelet denoising can improve the regression correlation coefficient of the settlement curve.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zhangjun Dai
AU  - Shanxiong Chen
PY  - 2016/01
DA  - 2016/01
TI  - The influence of denoising on the subgrade settlement fitting curve
BT  - Proceedings of the 2016 International Conference on Civil, Transportation and Environment
PB  - Atlantis Press
SP  - 325
EP  - 329
SN  - 2352-5401
UR  - https://doi.org/10.2991/iccte-16.2016.56
DO  - 10.2991/iccte-16.2016.56
ID  - Dai2016/01
ER  -