{"title":"多通道混合光谱的估计","authors":"V. Nagesha, S. Kay","doi":"10.1109/SSAP.1994.572425","DOIUrl":null,"url":null,"abstract":"Statistical inference for vector time series having a mixed spectral representation is considered. The approach is to use a finite-parameter model and compute the maximum likelihood estimates of the underlying descriptors. Statistically/computationally efficient implementations are studied.","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":"7","resultStr":"{\"title\":\"Estimation of Multichannel Mixed Spectra\",\"authors\":\"V. Nagesha, S. Kay\",\"doi\":\"10.1109/SSAP.1994.572425\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Statistical inference for vector time series having a mixed spectral representation is considered. The approach is to use a finite-parameter model and compute the maximum likelihood estimates of the underlying descriptors. Statistically/computationally efficient implementations are studied.\",\"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\":\"7\",\"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.1994.572425\",\"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.1994.572425","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Statistical inference for vector time series having a mixed spectral representation is considered. The approach is to use a finite-parameter model and compute the maximum likelihood estimates of the underlying descriptors. Statistically/computationally efficient implementations are studied.
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