{"title":"关于维格纳分布中的交叉分量","authors":"M. Sun, R. Sclabassi, C.C. Li","doi":"10.1109/ICSYSE.1990.203211","DOIUrl":null,"url":null,"abstract":"The origin and geometrical characteristics of auto- and cross-components in the Wigner distribution (WD) are investigated utilizing a probe signal. Techniques for eliminating cross-components are reviewed and compared. These methods include local smoothing of the WD using Gaussian and other kinds of smoothing windows, adaptive variation of the smoothing window parameters according to the signal's structure, and the use of singular value decomposition. All the techniques discussed involve a tradeoff between the cross-components and the time-frequency resolution. Ways of avoiding this tradeoff are discussed","PeriodicalId":259801,"journal":{"name":"1990 IEEE International Conference on Systems Engineering","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1990-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"On cross-components in the Wigner distribution\",\"authors\":\"M. Sun, R. Sclabassi, C.C. Li\",\"doi\":\"10.1109/ICSYSE.1990.203211\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The origin and geometrical characteristics of auto- and cross-components in the Wigner distribution (WD) are investigated utilizing a probe signal. Techniques for eliminating cross-components are reviewed and compared. These methods include local smoothing of the WD using Gaussian and other kinds of smoothing windows, adaptive variation of the smoothing window parameters according to the signal's structure, and the use of singular value decomposition. All the techniques discussed involve a tradeoff between the cross-components and the time-frequency resolution. Ways of avoiding this tradeoff are discussed\",\"PeriodicalId\":259801,\"journal\":{\"name\":\"1990 IEEE International Conference on Systems Engineering\",\"volume\":\"51 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1990-08-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1990 IEEE International Conference on Systems Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSYSE.1990.203211\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1990 IEEE International Conference on Systems Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSYSE.1990.203211","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The origin and geometrical characteristics of auto- and cross-components in the Wigner distribution (WD) are investigated utilizing a probe signal. Techniques for eliminating cross-components are reviewed and compared. These methods include local smoothing of the WD using Gaussian and other kinds of smoothing windows, adaptive variation of the smoothing window parameters according to the signal's structure, and the use of singular value decomposition. All the techniques discussed involve a tradeoff between the cross-components and the time-frequency resolution. Ways of avoiding this tradeoff are discussed
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