{"title":"A Fuzzy Method for Signal Smoothing","authors":"Wenjing Yang, Yuanguo Zhu","doi":"10.1109/CSO.2010.108","DOIUrl":null,"url":null,"abstract":"In signal testing procedure, due to the various interference, experimental data records collected by test system always deviate from original true data. The interference factors do not only contain measurement errors but also contain ambiguity of measuring concepts. Mixed data makes contiguous sample values be mixed up and also makes data curves vibrate strongly, which will produce unexpected sharp signals. It is required to smooth the sharp signals in order to weaken interference factors and enhance the curve'ssmoothness. In this paper a new fuzzy smoothing method is proposed by using the weighted mean idea. In addition, based on the expectation operator of fuzzy variables, a new method is presented to estimate the signal's average angle.","PeriodicalId":427481,"journal":{"name":"2010 Third International Joint Conference on Computational Science and Optimization","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Third International Joint Conference on Computational Science and Optimization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSO.2010.108","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In signal testing procedure, due to the various interference, experimental data records collected by test system always deviate from original true data. The interference factors do not only contain measurement errors but also contain ambiguity of measuring concepts. Mixed data makes contiguous sample values be mixed up and also makes data curves vibrate strongly, which will produce unexpected sharp signals. It is required to smooth the sharp signals in order to weaken interference factors and enhance the curve'ssmoothness. In this paper a new fuzzy smoothing method is proposed by using the weighted mean idea. In addition, based on the expectation operator of fuzzy variables, a new method is presented to estimate the signal's average angle.
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