{"title":"高斯过程的混合物和乘积的过零率","authors":"J. Barnett, B. Kedem","doi":"10.1109/18.681350","DOIUrl":null,"url":null,"abstract":"Formulas for the expected zero-crossing rate of non-Gaussian mixtures and products of Gaussian processes are obtained. The approach we take is to first derive the expected zero-crossing rate in discrete time and then obtain the rate in continuous time by an appropriate limiting argument. The processes considered, which are non-Gaussian but derived from Gaussian processes, serve to illustrate the variability of the zero-crossing rate in terms of the normalized autocorrelation function p(t) of the process. For Gaussian processes, Rice's formula gives the expected zero-crossing rate in continuous time as 1//spl pi//spl radic/(-/spl rho/\"(0)). We show processes exist with expected zero-crossing rates given by /spl kappa///spl pi//spl radic/(-/spl rho/\"(0)) with either /spl kappa//spl Gt/1 or /spl kappa//spl Lt/1. Consequently, such processes can have an arbitrarily large or small zero-crossing rate as compared to a Gaussian process with the same autocorrelation function.","PeriodicalId":13250,"journal":{"name":"IEEE Trans. Inf. Theory","volume":"36 1","pages":"1672-1677"},"PeriodicalIF":0.0000,"publicationDate":"1998-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"22","resultStr":"{\"title\":\"Zero-Crossing Rates of Mixtures and Products of Gaussian Processes\",\"authors\":\"J. Barnett, B. Kedem\",\"doi\":\"10.1109/18.681350\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Formulas for the expected zero-crossing rate of non-Gaussian mixtures and products of Gaussian processes are obtained. The approach we take is to first derive the expected zero-crossing rate in discrete time and then obtain the rate in continuous time by an appropriate limiting argument. The processes considered, which are non-Gaussian but derived from Gaussian processes, serve to illustrate the variability of the zero-crossing rate in terms of the normalized autocorrelation function p(t) of the process. For Gaussian processes, Rice's formula gives the expected zero-crossing rate in continuous time as 1//spl pi//spl radic/(-/spl rho/\\\"(0)). We show processes exist with expected zero-crossing rates given by /spl kappa///spl pi//spl radic/(-/spl rho/\\\"(0)) with either /spl kappa//spl Gt/1 or /spl kappa//spl Lt/1. Consequently, such processes can have an arbitrarily large or small zero-crossing rate as compared to a Gaussian process with the same autocorrelation function.\",\"PeriodicalId\":13250,\"journal\":{\"name\":\"IEEE Trans. Inf. Theory\",\"volume\":\"36 1\",\"pages\":\"1672-1677\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"22\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Trans. Inf. Theory\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/18.681350\",\"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 Trans. Inf. Theory","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/18.681350","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Zero-Crossing Rates of Mixtures and Products of Gaussian Processes
Formulas for the expected zero-crossing rate of non-Gaussian mixtures and products of Gaussian processes are obtained. The approach we take is to first derive the expected zero-crossing rate in discrete time and then obtain the rate in continuous time by an appropriate limiting argument. The processes considered, which are non-Gaussian but derived from Gaussian processes, serve to illustrate the variability of the zero-crossing rate in terms of the normalized autocorrelation function p(t) of the process. For Gaussian processes, Rice's formula gives the expected zero-crossing rate in continuous time as 1//spl pi//spl radic/(-/spl rho/"(0)). We show processes exist with expected zero-crossing rates given by /spl kappa///spl pi//spl radic/(-/spl rho/"(0)) with either /spl kappa//spl Gt/1 or /spl kappa//spl Lt/1. Consequently, such processes can have an arbitrarily large or small zero-crossing rate as compared to a Gaussian process with the same autocorrelation function.