{"title":"Studentized filter of time-frequency analysis and synthesis of the signals","authors":"Bogdan Semenov, I. Shelevytsky","doi":"10.1109/SPS.2015.7168293","DOIUrl":null,"url":null,"abstract":"Non-linear filter with studentized coefficients of time-frequency decomposition and signal reconstruction is described. The main feature of time-frequency decomposition is least squares estimation of spline fragments of different scales. Filter performs selection of statistically significant components of time-frequency decomposition taking into account local variance of residuals. The main advantage is that it filters fragments of white noise from the signal.","PeriodicalId":193902,"journal":{"name":"2015 Signal Processing Symposium (SPSympo)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 Signal Processing Symposium (SPSympo)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPS.2015.7168293","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
Non-linear filter with studentized coefficients of time-frequency decomposition and signal reconstruction is described. The main feature of time-frequency decomposition is least squares estimation of spline fragments of different scales. Filter performs selection of statistically significant components of time-frequency decomposition taking into account local variance of residuals. The main advantage is that it filters fragments of white noise from the signal.
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