{"title":"基于多项式插值的新设计方法","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":"{\"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}","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}
New design approach for polynomial-based interpolation
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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