{"title":"细化数字频谱","authors":"P.A.M.-S. David, J. Szczupak","doi":"10.1109/MWSCAS.1996.588020","DOIUrl":null,"url":null,"abstract":"It is well known that the digital spectrum is distorted, if the sampling window does not enclose an integer number of the discrete periods of the signal components, i.e., if the discrete signal is truncated. This phenomenon is known as \"spectrum leaking\". This paper presents an algorithm, based on the analysis of the spectral leakage, to obtain the true amplitude, phase and frequency of the signal components, based on their distorted values. The paper also includes some demonstrative examples of the algorithm performance.","PeriodicalId":321968,"journal":{"name":"Proceedings of the 39th Midwest Symposium on Circuits and Systems","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Refining the digital spectrum\",\"authors\":\"P.A.M.-S. David, J. Szczupak\",\"doi\":\"10.1109/MWSCAS.1996.588020\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"It is well known that the digital spectrum is distorted, if the sampling window does not enclose an integer number of the discrete periods of the signal components, i.e., if the discrete signal is truncated. This phenomenon is known as \\\"spectrum leaking\\\". This paper presents an algorithm, based on the analysis of the spectral leakage, to obtain the true amplitude, phase and frequency of the signal components, based on their distorted values. The paper also includes some demonstrative examples of the algorithm performance.\",\"PeriodicalId\":321968,\"journal\":{\"name\":\"Proceedings of the 39th Midwest Symposium on Circuits and Systems\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-08-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 39th Midwest Symposium on Circuits and Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MWSCAS.1996.588020\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 39th Midwest Symposium on Circuits and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MWSCAS.1996.588020","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
It is well known that the digital spectrum is distorted, if the sampling window does not enclose an integer number of the discrete periods of the signal components, i.e., if the discrete signal is truncated. This phenomenon is known as "spectrum leaking". This paper presents an algorithm, based on the analysis of the spectral leakage, to obtain the true amplitude, phase and frequency of the signal components, based on their distorted values. The paper also includes some demonstrative examples of the algorithm performance.
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