{"title":"Experimental comparison of two information-theoretic spectral estimators","authors":"R. C. Papademetriou","doi":"10.1109/ICOSP.1998.770170","DOIUrl":null,"url":null,"abstract":"The use of the minimum cross-entropy (MCE) principle in spectrum estimation, resulting in an information-theoretic method that explicitly includes prior spectral information, has followed two philosophically different pathways leading to two distinct estimators, cross-entropy (CE) and spectral cross-entropy (SCE) respectively. These estimators are compared experimentally, regarding resolvability and fidelity. The data model assumed consists of two equal-amplitude sinusoidal signals, immersed in 1/f noise. The CE estimator appears to have evident superiority in this study.","PeriodicalId":145700,"journal":{"name":"ICSP '98. 1998 Fourth International Conference on Signal Processing (Cat. No.98TH8344)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ICSP '98. 1998 Fourth International Conference on Signal Processing (Cat. No.98TH8344)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOSP.1998.770170","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
The use of the minimum cross-entropy (MCE) principle in spectrum estimation, resulting in an information-theoretic method that explicitly includes prior spectral information, has followed two philosophically different pathways leading to two distinct estimators, cross-entropy (CE) and spectral cross-entropy (SCE) respectively. These estimators are compared experimentally, regarding resolvability and fidelity. The data model assumed consists of two equal-amplitude sinusoidal signals, immersed in 1/f noise. The CE estimator appears to have evident superiority in this study.
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