Adaptive Threshold De-noising Algorithm of Roll Eccentricity Signal

摘要：

To solve the problem of roll eccentricity signal with the noise in the HAGC system,a new method based on adaptive threshold de-noising algorithm of roll eccentricity signal is proposed.The new method can self-adaptively decide the threshold of wavelet analysis and make the SNR as a function of the parameter of the filter to acquire the optimal threshold parameter by using midpoint method.This method has the properties of self-adaptation,strong robustness,low calculation,simple arithmetic and so on.Simulation shows that the result of de-noising with this new method is much better than soft-thresholding algorithm and hard-thresholding algorithm and has a good de-noising result for roll eccentricity signal in HAGC system.

作者: Li Daoping Yao Xiaolan Wu Qinghe Zhang Xiaodong

作者单位: Beijing Institute of Technology,School of Information and Technology,Beijing,100081

会议类型: 国际会议

会议名称: 第一届智能网络与智能系统国际会议(ICINIS 2008)(The First International Conference on Intelligent Networks and Intelligent Systems)

会议地点: 武汉

会议语种:英文

在线出版日期: 2008-11-01（万方平台首次上网日期，不代表论文的发表时间）