{"title":"减少干扰Wigner-Ville时频率表示使用信号支持信息","authors":"Chandrakant J. Gaikwad, P. Sircar","doi":"10.1109/INDICON.2016.7839100","DOIUrl":null,"url":null,"abstract":"The problem of joint time-frequency representation (TFR) of multicomponent non-stationary signals is considered. We introduce a new technique of masking cross-terms in the Wigner-Ville distribution (WVD) of multicomponent non-stationary signals. Ideal concentration of the WVD is achieved at the same time cross-terms are removed for the considered type of signals. Time and frequency support information of the signal is used to achieve this goal.","PeriodicalId":283953,"journal":{"name":"2016 IEEE Annual India Conference (INDICON)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Reduced interference Wigner-Ville time frequency representations using signal support information\",\"authors\":\"Chandrakant J. Gaikwad, P. Sircar\",\"doi\":\"10.1109/INDICON.2016.7839100\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The problem of joint time-frequency representation (TFR) of multicomponent non-stationary signals is considered. We introduce a new technique of masking cross-terms in the Wigner-Ville distribution (WVD) of multicomponent non-stationary signals. Ideal concentration of the WVD is achieved at the same time cross-terms are removed for the considered type of signals. Time and frequency support information of the signal is used to achieve this goal.\",\"PeriodicalId\":283953,\"journal\":{\"name\":\"2016 IEEE Annual India Conference (INDICON)\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE Annual India Conference (INDICON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INDICON.2016.7839100\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE Annual India Conference (INDICON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INDICON.2016.7839100","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Reduced interference Wigner-Ville time frequency representations using signal support information
The problem of joint time-frequency representation (TFR) of multicomponent non-stationary signals is considered. We introduce a new technique of masking cross-terms in the Wigner-Ville distribution (WVD) of multicomponent non-stationary signals. Ideal concentration of the WVD is achieved at the same time cross-terms are removed for the considered type of signals. Time and frequency support information of the signal is used to achieve this goal.