{"title":"一种基于多速率观测的鲁棒功率谱估计技术","authors":"M. Sreelatha, T. Kumar, S. Mathur","doi":"10.1109/ICSAP.2009.54","DOIUrl":null,"url":null,"abstract":"The main focus of this paper is to estimate thepower spectral density of a wide sense stationary randomsignal with available low resolution samples. A modifiedmaximum entropy inference engine algorithm forestimating the power spectral density of the random signalis proposed in this paper. The approach is corroborated with simulation results to illustrate the efficacy of the proposed method.","PeriodicalId":176934,"journal":{"name":"2009 International Conference on Signal Acquisition and Processing","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Robust Technique for Power Spectrum Estimation Using Multirate Observations\",\"authors\":\"M. Sreelatha, T. Kumar, S. Mathur\",\"doi\":\"10.1109/ICSAP.2009.54\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The main focus of this paper is to estimate thepower spectral density of a wide sense stationary randomsignal with available low resolution samples. A modifiedmaximum entropy inference engine algorithm forestimating the power spectral density of the random signalis proposed in this paper. The approach is corroborated with simulation results to illustrate the efficacy of the proposed method.\",\"PeriodicalId\":176934,\"journal\":{\"name\":\"2009 International Conference on Signal Acquisition and Processing\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-04-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Conference on Signal Acquisition and Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSAP.2009.54\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Signal Acquisition and Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSAP.2009.54","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Robust Technique for Power Spectrum Estimation Using Multirate Observations
The main focus of this paper is to estimate thepower spectral density of a wide sense stationary randomsignal with available low resolution samples. A modifiedmaximum entropy inference engine algorithm forestimating the power spectral density of the random signalis proposed in this paper. The approach is corroborated with simulation results to illustrate the efficacy of the proposed method.
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