Adaptive threshold de-noising algorithm of roll eccentricity signal

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

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - The 1st International Conference on Intelligent Networks and Intelligent Systems, ICINIS 2008
Pages585-587
Number of pages3
DOIs
Publication statusPublished - 2008
Event1st International Conference on Intelligent Networks and Intelligent Systems, ICINIS 2008 - Wuhan, China
Duration: 1 Nov 20083 Nov 2008

Publication series

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

Conference

Conference1st International Conference on Intelligent Networks and Intelligent Systems, ICINIS 2008
Country/TerritoryChina
CityWuhan
Period1/11/083/11/08

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