Application of Affine Estimators to Single Tone Frequency Estimation

dc.creatorGama, Fernando
dc.creatorCasaglia, Daniel Claudio
dc.creatorCernuschi Frias, Bruno
dc.date.accessioned2022-05-14T01:13:33Z
dc.date.accessioned2022-10-14T21:56:27Z
dc.date.available2022-05-14T01:13:33Z
dc.date.available2022-10-14T21:56:27Z
dc.date.created2022-05-14T01:13:33Z
dc.date.issued2012
dc.identifierApplication of Affine Estimators to Single Tone Frequency Estimation; 41 JAIIO Simposio Argentino de Tecnología; Buenos Aires; Argentina; 2012; 121-131
dc.identifier1850-2806
dc.identifierhttp://hdl.handle.net/11336/157554
dc.identifierCONICET Digital
dc.identifierCONICET
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4311128
dc.description.abstractAffine estimation has emerged as a promising technique toreduce the mean squared error (MSE) between the estimated parametersand the true value of these parameters. The aim of this paper is to obtainan affine estimator for the frequency of a complex sinusoid corrupted bywhite gaussian noise. Additionally, an adaptive technique is presented.The simulation results clearly show that affine estimators have betterperformance than unbiased estimators such as the maximum likelihoodestimator (MLE) and the Fu-Kam approximation.
dc.languageeng
dc.publisherSociedad Argentina de Informática
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.sourceAnales 41 JAIIO, Simposio Argentino de Tecnología (AST 2012)
dc.subjectSINGLE TONE ESTIMATION
dc.subjectAFFINE ESTIMATORS
dc.subjectMEAN SQUARED ERROR
dc.subjectADAPTIVE ALGORITHM
dc.titleApplication of Affine Estimators to Single Tone Frequency Estimation
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.typeinfo:ar-repo/semantics/documento de conferencia


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