{"title":"Multiscale zero-crossing statistics of intrinsic mode functions for white Gaussian noise","authors":"S. Baykut, Tayfun Akgül","doi":"10.5281/ZENODO.42085","DOIUrl":null,"url":null,"abstract":"In this paper, the statistical characteristics of zero-crossing intervals and zero-crossing amplitudes (the time interval and the absolute value of extrema between two successive zero-crossings) of intrinsic mode functions of white Gaussian noise are studied. Intrinsic mode functions are extracted by empirical mode decomposition method. Numerous simulations are conducted and the probability distribution functions of zero-crossing intervals and amplitudes are obtained. Simulation results are included. These findings are important to determine the statistical significance of IMFs. These white noise-only case statistical characteristics can be used for signal detection and/or signal/noise separation and an efficient noise reduction can be achieved.","PeriodicalId":409817,"journal":{"name":"2010 18th European Signal Processing Conference","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 18th European Signal Processing Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5281/ZENODO.42085","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
In this paper, the statistical characteristics of zero-crossing intervals and zero-crossing amplitudes (the time interval and the absolute value of extrema between two successive zero-crossings) of intrinsic mode functions of white Gaussian noise are studied. Intrinsic mode functions are extracted by empirical mode decomposition method. Numerous simulations are conducted and the probability distribution functions of zero-crossing intervals and amplitudes are obtained. Simulation results are included. These findings are important to determine the statistical significance of IMFs. These white noise-only case statistical characteristics can be used for signal detection and/or signal/noise separation and an efficient noise reduction can be achieved.