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/).

Download article (PDF)

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  -