A Research on a Method of Error Separation Based on Wavelet Analysis
- DOI
- 10.2991/iccsee.2013.224How to use a DOI?
- Keywords
- Wavelet Analysis, Immune Algorithm, GCV, error separation, systematic error, random error
- Abstract
According to the error character of the systematic error and random error in calibration data, we put forward using wavelet analysis method to the process of separating error. We give the basic principle and method to dispose random error with Wavelet Analysis. When choosing the threshold, we use GCV(Generalized Cross Validation) principle. Then use IA to search the best value of GCV function and realize the separation simulation of random error in the MATLAB. During the selection operation of IA(Immune Algorithm), the expecting propagation probability is computed in order to guarantee the diversity of the colony and the robustness of algorithm. The results of simulation show that the combination of Wavelet Transform and IA can achieve the aim of separation and have some application prospect in this field.
- 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/).
Cite this article
TY - CONF AU - Gang Yao AU - Jianjun Zhao AU - Deyi Sang PY - 2013/03 DA - 2013/03 TI - A Research on a Method of Error Separation Based on Wavelet Analysis BT - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013) PB - Atlantis Press SP - 890 EP - 893 SN - 1951-6851 UR - https://doi.org/10.2991/iccsee.2013.224 DO - 10.2991/iccsee.2013.224 ID - Yao2013/03 ER -