{"title":"Parametric signal analysis using the polynomial phase transform","authors":"B. Friedlander","doi":"10.1109/HOST.1993.264577","DOIUrl":null,"url":null,"abstract":"Presents a tutorial discussion of the polynomial phase transform (PPT) and its application to estimating the parameters of complex signals with continuous phase and slowly varying amplitudes. The PPT-based algorithm provides suboptimal but computationally efficient estimates of the signal parameters. The performance of the algorithm on single-component signals is discussed in some detail. Preliminary results on estimating multicomponent signals are presently briefly. The PPT appears to be a practical approach to parametric modeling of a class of nonstationary signals.<<ETX>>","PeriodicalId":439030,"journal":{"name":"[1993 Proceedings] IEEE Signal Processing Workshop on Higher-Order Statistics","volume":"58 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"30","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1993 Proceedings] IEEE Signal Processing Workshop on Higher-Order Statistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HOST.1993.264577","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 30
Abstract
Presents a tutorial discussion of the polynomial phase transform (PPT) and its application to estimating the parameters of complex signals with continuous phase and slowly varying amplitudes. The PPT-based algorithm provides suboptimal but computationally efficient estimates of the signal parameters. The performance of the algorithm on single-component signals is discussed in some detail. Preliminary results on estimating multicomponent signals are presently briefly. The PPT appears to be a practical approach to parametric modeling of a class of nonstationary signals.<>