{"title":"脉冲序列数据中的源数估计器","authors":"J. Perkins","doi":"10.1109/SSAP.1994.572442","DOIUrl":null,"url":null,"abstract":"Data that consists of a number of superimposed pulse trains (each train having a simple pulse arrival pattern) is considered. The number of independent trains present is of interest in a number of applications. By considering the variance (over window position) of the number of pulses lying in a time window the number of periodic sources can be determined. This method of Cox and Smith is generalized from strictly periodic emitters to those with noise or periodic patterns.","PeriodicalId":151571,"journal":{"name":"IEEE Seventh SP Workshop on Statistical Signal and Array Processing","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1994-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Source Number Estimator In Pulse Train Data\",\"authors\":\"J. Perkins\",\"doi\":\"10.1109/SSAP.1994.572442\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Data that consists of a number of superimposed pulse trains (each train having a simple pulse arrival pattern) is considered. The number of independent trains present is of interest in a number of applications. By considering the variance (over window position) of the number of pulses lying in a time window the number of periodic sources can be determined. This method of Cox and Smith is generalized from strictly periodic emitters to those with noise or periodic patterns.\",\"PeriodicalId\":151571,\"journal\":{\"name\":\"IEEE Seventh SP Workshop on Statistical Signal and Array Processing\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-06-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Seventh SP Workshop on Statistical Signal and Array Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SSAP.1994.572442\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Seventh SP Workshop on Statistical Signal and Array Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSAP.1994.572442","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Data that consists of a number of superimposed pulse trains (each train having a simple pulse arrival pattern) is considered. The number of independent trains present is of interest in a number of applications. By considering the variance (over window position) of the number of pulses lying in a time window the number of periodic sources can be determined. This method of Cox and Smith is generalized from strictly periodic emitters to those with noise or periodic patterns.
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