{"title":"基于虚拟泄漏最小化的频谱分析","authors":"D. Agrez","doi":"10.1109/EURCON.2003.1248073","DOIUrl":null,"url":null,"abstract":"A method is presented which estimates very accurately the spectrum of digitized signals, which can be periodic, or combinations of sinusoids with arbitrary amplitudes, frequencies, and phases. The proposed algorithm uses the interpolated discrete Fourier transform (DFT). The bias removal and leakage compensation are presented for rectangular and Hanning windows. The analysis is performed interactively in virtual environment on personal computer.","PeriodicalId":337983,"journal":{"name":"The IEEE Region 8 EUROCON 2003. Computer as a Tool.","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Spectrum analysis by virtual leakage minimization\",\"authors\":\"D. Agrez\",\"doi\":\"10.1109/EURCON.2003.1248073\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A method is presented which estimates very accurately the spectrum of digitized signals, which can be periodic, or combinations of sinusoids with arbitrary amplitudes, frequencies, and phases. The proposed algorithm uses the interpolated discrete Fourier transform (DFT). The bias removal and leakage compensation are presented for rectangular and Hanning windows. The analysis is performed interactively in virtual environment on personal computer.\",\"PeriodicalId\":337983,\"journal\":{\"name\":\"The IEEE Region 8 EUROCON 2003. Computer as a Tool.\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-12-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The IEEE Region 8 EUROCON 2003. Computer as a Tool.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EURCON.2003.1248073\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The IEEE Region 8 EUROCON 2003. Computer as a Tool.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EURCON.2003.1248073","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A method is presented which estimates very accurately the spectrum of digitized signals, which can be periodic, or combinations of sinusoids with arbitrary amplitudes, frequencies, and phases. The proposed algorithm uses the interpolated discrete Fourier transform (DFT). The bias removal and leakage compensation are presented for rectangular and Hanning windows. The analysis is performed interactively in virtual environment on personal computer.