Wavelet Robust Filtering of Out-trajectory Data

摘要：

　　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 navel 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.

关键词： wavelet transform empirical wiener Filtering moving median

作者: Lingjing Meng Haibo Liu

作者单位: Section 94, Unit 91550 Dalian, China

会议类型: 国际会议

会议名称: 2012 2nd International Conference on Computer and Information Applications(ICCIA2012)(2012第二届计算机和信息应用国际会议)

会议地点: 太原

会议语种:英文

页码: 986-989

在线出版日期: 2012-12-08（万方平台首次上网日期，不代表论文的发表时间）