{"title":"使用离散多标称变换的信号估计","authors":"S. Peleg, B. Friedlander","doi":"10.1109/ICASSP.1993.319685","DOIUrl":null,"url":null,"abstract":"The authors develop an iterative procedure for estimating the parameters of a signal consisting of multiple polynomial-phase components with time-varying amplitudes. The proposed algorithm is based on the discrete polynomial transform (DPT), and shares its computational simplicity. Preliminary experimentation with the algorithm has shown that it is able to provide accurate parameter estimates. A numerical example is included.<<ETX>>","PeriodicalId":428449,"journal":{"name":"1993 IEEE International Conference on Acoustics, Speech, and Signal Processing","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Signal estimation using the discrete polynominal transform\",\"authors\":\"S. Peleg, B. Friedlander\",\"doi\":\"10.1109/ICASSP.1993.319685\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The authors develop an iterative procedure for estimating the parameters of a signal consisting of multiple polynomial-phase components with time-varying amplitudes. The proposed algorithm is based on the discrete polynomial transform (DPT), and shares its computational simplicity. Preliminary experimentation with the algorithm has shown that it is able to provide accurate parameter estimates. A numerical example is included.<<ETX>>\",\"PeriodicalId\":428449,\"journal\":{\"name\":\"1993 IEEE International Conference on Acoustics, Speech, and Signal Processing\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-04-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1993 IEEE International Conference on Acoustics, Speech, and Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICASSP.1993.319685\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1993 IEEE International Conference on Acoustics, Speech, and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICASSP.1993.319685","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Signal estimation using the discrete polynominal transform
The authors develop an iterative procedure for estimating the parameters of a signal consisting of multiple polynomial-phase components with time-varying amplitudes. The proposed algorithm is based on the discrete polynomial transform (DPT), and shares its computational simplicity. Preliminary experimentation with the algorithm has shown that it is able to provide accurate parameter estimates. A numerical example is included.<>
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