{"title":"New design approach for polynomial-based interpolation","authors":"R. Hamila, G. Gunnarsson, M. Renfors","doi":"10.1109/PACRIM.1999.799595","DOIUrl":null,"url":null,"abstract":"Polynomial-based interpolation techniques are an attractive approach for discrete-time processing of continuous-time signals. These techniques are employing discrete time filters for enabling arbitrary resampling of a time series, and have been used in several applications. In this contribution we investigate and analyze some new design methods and possible applications of this polynomial-based interpolation utilizing the Farrow structure.","PeriodicalId":176763,"journal":{"name":"1999 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM 1999). Conference Proceedings (Cat. No.99CH36368)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"1999 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM 1999). Conference Proceedings (Cat. No.99CH36368)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PACRIM.1999.799595","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Polynomial-based interpolation techniques are an attractive approach for discrete-time processing of continuous-time signals. These techniques are employing discrete time filters for enabling arbitrary resampling of a time series, and have been used in several applications. In this contribution we investigate and analyze some new design methods and possible applications of this polynomial-based interpolation utilizing the Farrow structure.
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