一种信号平滑的模糊方法

2010 Third International Joint Conference on Computational Science and Optimization Pub Date : 2010-05-28 DOI:10.1109/CSO.2010.108

Wenjing Yang, Yuanguo Zhu

{"title":"一种信号平滑的模糊方法","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":"{\"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}","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

摘要

在信号测试过程中，由于各种干扰，测试系统采集到的实验数据记录往往与原始真实数据存在偏差。干扰因素不仅包含测量误差，还包含测量概念的模糊性。混合数据使连续的样本值混合在一起，也使数据曲线产生强烈的振动，从而产生意想不到的尖锐信号。为了减弱干扰因素，提高曲线的平滑度，需要对尖锐信号进行平滑处理。本文利用加权平均思想提出了一种新的模糊平滑方法。此外，基于模糊变量的期望算子，提出了一种估计信号平均角度的新方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

A Fuzzy Method for Signal Smoothing

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.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2010 Third International Joint Conference on Computational Science and Optimization

自引率

0.00%

发文量