Adaptive threshold de-noising algorithm of roll eccentricity signal

Daoping Li*, Xiaolan Yao, Qinghe Wu, Xiaodong Zhang

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

2 引用 (Scopus)

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.

源语言英语
主期刊名Proceedings - The 1st International Conference on Intelligent Networks and Intelligent Systems, ICINIS 2008
585-587
页数3
DOI
出版状态已出版 - 2008
活动1st International Conference on Intelligent Networks and Intelligent Systems, ICINIS 2008 - Wuhan, 中国
期限: 1 11月 20083 11月 2008

出版系列

姓名Proceedings - The 1st International Conference on Intelligent Networks and Intelligent Systems, ICINIS 2008

会议

会议1st International Conference on Intelligent Networks and Intelligent Systems, ICINIS 2008
国家/地区中国
Wuhan
时期1/11/083/11/08

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