{"title":"Estimation of time-varying magnitude squared coherence functions","authors":"Do-Nyeon Kim, I. Cha, D. Youn","doi":"10.1109/ICICS.1997.652218","DOIUrl":null,"url":null,"abstract":"A new method for computing an estimate of the time-varying magnitude squared coherence (MSC) between two data sequences is presented. The method estimates the time-varying MSC function by using a modulator and a lowpass filter and is compared with a method using a bandpass filter and the Hilbert transform through computer simulation.","PeriodicalId":71361,"journal":{"name":"信息通信技术","volume":"11 1 1","pages":"1389-1392 vol.3"},"PeriodicalIF":0.0000,"publicationDate":"1997-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"信息通信技术","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.1109/ICICS.1997.652218","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
A new method for computing an estimate of the time-varying magnitude squared coherence (MSC) between two data sequences is presented. The method estimates the time-varying MSC function by using a modulator and a lowpass filter and is compared with a method using a bandpass filter and the Hilbert transform through computer simulation.
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