{"title":"Wavelet threshold methods used in lightning transient electrical signals denoising","authors":"Peng Li, Yi Zheng, Chao Han, Lili Song, B. Cao","doi":"10.1109/FSKD.2012.6234045","DOIUrl":null,"url":null,"abstract":"The Birge-Massart threshold wavelet methods were used to denoise lightning transient electrical signals, compared with the traditional de-noising methods such as Smoothing filter and FIR digital low-pass filter. The Means square error (MSE) and Magnitude error (ME) of simulation signals were calculated to compare the de-noising effect. The double exponential-decay pulse signals and Gaussian white-noise were composed as the simulating signals. The measured signals were also used to de-nosing with traditional and wavelet threshold methods. The results of simulation data and measured ones proved that the Birge-Massart threshold wavelet method was better than the traditional ones.","PeriodicalId":337941,"journal":{"name":"International Conference on Fuzzy Systems and Knowledge Discovery","volume":"666 ","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Fuzzy Systems and Knowledge Discovery","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FSKD.2012.6234045","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
The Birge-Massart threshold wavelet methods were used to denoise lightning transient electrical signals, compared with the traditional de-noising methods such as Smoothing filter and FIR digital low-pass filter. The Means square error (MSE) and Magnitude error (ME) of simulation signals were calculated to compare the de-noising effect. The double exponential-decay pulse signals and Gaussian white-noise were composed as the simulating signals. The measured signals were also used to de-nosing with traditional and wavelet threshold methods. The results of simulation data and measured ones proved that the Birge-Massart threshold wavelet method was better than the traditional ones.