{"title":"Polynomial time-frequency distributions and timevarying higher-order spectra: A review of performance for non-stationary signal analysis","authors":"B. Boashash, B. Ristic","doi":"10.1109/ISSPA.1996.615126","DOIUrl":null,"url":null,"abstract":"A class of Polynomial time-frequency distributions has been recently proposed. It achieves the highest possible concentration in the time-frequency plane for nonlinear polynomial FM signals. Further, it allows to define time-varying higher-order spectra for nonstationary random signals. The paper presents a review of recent results and an application to multi-component signal analysis in the presence of additive and/or multiplicative noise.","PeriodicalId":359344,"journal":{"name":"Fourth International Symposium on Signal Processing and Its Applications","volume":"138 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fourth International Symposium on Signal Processing and Its Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSPA.1996.615126","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
A class of Polynomial time-frequency distributions has been recently proposed. It achieves the highest possible concentration in the time-frequency plane for nonlinear polynomial FM signals. Further, it allows to define time-varying higher-order spectra for nonstationary random signals. The paper presents a review of recent results and an application to multi-component signal analysis in the presence of additive and/or multiplicative noise.