{"title":"基于数字采样数据的间谐波和波动谐波参数的贝叶斯估计","authors":"G. Kyriazis","doi":"10.1109/CPEM.2010.5545062","DOIUrl":null,"url":null,"abstract":"Bayesian spectrum analysis using approximations based on the normal distribution and the posterior mode is used here for estimating accurately the parameters of interharmonics and fluctuating harmonics from digital sampling data.","PeriodicalId":222495,"journal":{"name":"CPEM 2010","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Bayesian estimation of interharmonic and fluctuating harmonic parameters from digital sampling data\",\"authors\":\"G. Kyriazis\",\"doi\":\"10.1109/CPEM.2010.5545062\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Bayesian spectrum analysis using approximations based on the normal distribution and the posterior mode is used here for estimating accurately the parameters of interharmonics and fluctuating harmonics from digital sampling data.\",\"PeriodicalId\":222495,\"journal\":{\"name\":\"CPEM 2010\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-06-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"CPEM 2010\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CPEM.2010.5545062\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"CPEM 2010","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CPEM.2010.5545062","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Bayesian estimation of interharmonic and fluctuating harmonic parameters from digital sampling data
Bayesian spectrum analysis using approximations based on the normal distribution and the posterior mode is used here for estimating accurately the parameters of interharmonics and fluctuating harmonics from digital sampling data.
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