Wavelet Robust Filtering of Out-trajectory Data
- 10.2991/iccia.2012.241How to use a DOI?
- wavelet transform, empirical wiener Filtering, moving median
Wavelet-based robust filtering of process data is proposed in order to reduce the influence of the outliers and noise in Out-trajectory data. We utilize the moving median filtering method to reject outliers in the original data and then combine wavelet de-noising method with empirical Wiener threshold to suppress noise. Simulation calculation and real engineering application has shown that the novel algorithm reliably preserves the information encapsulated in a process signal corrupted with noise and outliers. The methodology has been proved to be reliable and robust.
- © 2013, 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/).
Cite this article
TY - CONF AU - Lingjing Meng AU - Haibo Liu PY - 2014/05 DA - 2014/05 TI - Wavelet Robust Filtering of Out-trajectory Data BT - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012) PB - Atlantis Press SP - 986 EP - 989 SN - 1951-6851 UR - https://doi.org/10.2991/iccia.2012.241 DO - 10.2991/iccia.2012.241 ID - Meng2014/05 ER -