A. S. Voznesenskiy, D. Kaplun, S. Romanov, V. Gulvanskii, D. Klionskiy
{"title":"Denoising Algorithm Based on EMD with Adaptive Adjustment of Coefficients","authors":"A. S. Voznesenskiy, D. Kaplun, S. Romanov, V. Gulvanskii, D. Klionskiy","doi":"10.1109/EICONRUS.2019.8657203","DOIUrl":null,"url":null,"abstract":"This paper deals with the denoising algorithm based on EMD with adaptive adjustment of the coefficients depending on the noise level. It is compared with the known denoising algorithms based on EMD, wavelets and Wiener filter. The evaluation of the filtration quality was performed. Synthetic signals of a complex non-stationary structure are used as initial data.","PeriodicalId":6748,"journal":{"name":"2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus)","volume":"13 1","pages":"1240-1243"},"PeriodicalIF":0.0000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EICONRUS.2019.8657203","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper deals with the denoising algorithm based on EMD with adaptive adjustment of the coefficients depending on the noise level. It is compared with the known denoising algorithms based on EMD, wavelets and Wiener filter. The evaluation of the filtration quality was performed. Synthetic signals of a complex non-stationary structure are used as initial data.