{"title":"坎贝尔定理在非平稳噪声中的推广","authors":"L. Cohen","doi":"10.5281/ZENODO.44199","DOIUrl":null,"url":null,"abstract":"Campbell's theorem is a fundamental result in noise theory and is applied in many fields of science and engineering. It gives a simple but very powerful expression for the mean and standard deviation of a stationary random pulse train. We generalize Campbell's theorem to the non-stationary case where the random process is space and time dependent. We also generalize it to a pulse train of waves, acoustic and electromagnetic, where the intensity is defined as the absolute square of the pulse train.","PeriodicalId":198408,"journal":{"name":"2014 22nd European Signal Processing Conference (EUSIPCO)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2014-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Generalization of Campbell's theorem to nonstationary noise\",\"authors\":\"L. Cohen\",\"doi\":\"10.5281/ZENODO.44199\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Campbell's theorem is a fundamental result in noise theory and is applied in many fields of science and engineering. It gives a simple but very powerful expression for the mean and standard deviation of a stationary random pulse train. We generalize Campbell's theorem to the non-stationary case where the random process is space and time dependent. We also generalize it to a pulse train of waves, acoustic and electromagnetic, where the intensity is defined as the absolute square of the pulse train.\",\"PeriodicalId\":198408,\"journal\":{\"name\":\"2014 22nd European Signal Processing Conference (EUSIPCO)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-11-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 22nd European Signal Processing Conference (EUSIPCO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5281/ZENODO.44199\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 22nd European Signal Processing Conference (EUSIPCO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5281/ZENODO.44199","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Generalization of Campbell's theorem to nonstationary noise
Campbell's theorem is a fundamental result in noise theory and is applied in many fields of science and engineering. It gives a simple but very powerful expression for the mean and standard deviation of a stationary random pulse train. We generalize Campbell's theorem to the non-stationary case where the random process is space and time dependent. We also generalize it to a pulse train of waves, acoustic and electromagnetic, where the intensity is defined as the absolute square of the pulse train.