Wavelet Robust Filtering of Out-trajectory Data

DOI

10.2991/iccia.2012.241How to use a DOI?

Keywords

wavelet transform, empirical wiener Filtering, moving median

Abstract

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.

Copyright

© 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/).

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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  -