{"title":"暂态信号分离","authors":"B.A. Weisburn, T. Parks, R. Shenoy","doi":"10.1109/DSP.1994.379841","DOIUrl":null,"url":null,"abstract":"Presents a method for recovering transient signal components which may not be separable either in time or in frequency, but which are linearly separable in the time-frequency plane. A linear operator is formed which selects components lying in a strip situated at an arbitrary angle in time-frequency. Whereas other methods approximate time-varying filters corresponding to different masks in time-frequency, the present method is restricted to strips, but there is no approximation involved. This strip filter is implemented in two ways, using Hermite functions and by chirp modulation, and is tested on a synthetic data signal.<<ETX>>","PeriodicalId":189083,"journal":{"name":"Proceedings of IEEE 6th Digital Signal Processing Workshop","volume":"299 6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Separation of transient signals\",\"authors\":\"B.A. Weisburn, T. Parks, R. Shenoy\",\"doi\":\"10.1109/DSP.1994.379841\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Presents a method for recovering transient signal components which may not be separable either in time or in frequency, but which are linearly separable in the time-frequency plane. A linear operator is formed which selects components lying in a strip situated at an arbitrary angle in time-frequency. Whereas other methods approximate time-varying filters corresponding to different masks in time-frequency, the present method is restricted to strips, but there is no approximation involved. This strip filter is implemented in two ways, using Hermite functions and by chirp modulation, and is tested on a synthetic data signal.<<ETX>>\",\"PeriodicalId\":189083,\"journal\":{\"name\":\"Proceedings of IEEE 6th Digital Signal Processing Workshop\",\"volume\":\"299 6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-10-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of IEEE 6th Digital Signal Processing Workshop\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DSP.1994.379841\",\"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 IEEE 6th Digital Signal Processing Workshop","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DSP.1994.379841","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Presents a method for recovering transient signal components which may not be separable either in time or in frequency, but which are linearly separable in the time-frequency plane. A linear operator is formed which selects components lying in a strip situated at an arbitrary angle in time-frequency. Whereas other methods approximate time-varying filters corresponding to different masks in time-frequency, the present method is restricted to strips, but there is no approximation involved. This strip filter is implemented in two ways, using Hermite functions and by chirp modulation, and is tested on a synthetic data signal.<>
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