A Research on a Method of Error Separation Based on Wavelet Analysis

摘要：

　　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.

关键词： Wavelet Analysis Immune Algorithm GCV error separation systematic error random error

作者: Yao Gang Zhao Jianjun Sang Deyi

作者单位: Dept.of Armament Science and Technology Naval Aeronautical Engineering Institute Yantai,China

会议类型: 国际会议

会议名称: 2013 2nd International Conference on Computer Science and Electronics Engineering(ICCSEE2013)(2013年第二届计算机科学与电子工程国际会议)

会议地点: 杭州

会议语种:英文

页码: 890-893

在线出版日期: 2013-03-22（万方平台首次上网日期，不代表论文的发表时间）