dc.creatorGama, Fernando
dc.creatorCasaglia, Daniel
dc.creatorCernuschi-Frías, Bruno
dc.date2013-09
dc.date2013
dc.date2019-06-21T16:17:30Z
dc.identifierhttp://sedici.unlp.edu.ar/handle/10915/76852
dc.identifierhttp://42jaiio.sadio.org.ar/proceedings/simposios/Trabajos/AST/08.pdf
dc.identifierissn:1850-2806
dc.descriptionMultiple damped complex exponentials are of great practical importance as they are useful for describing many technological situations. Several estimators have been developed for the parameters of these complex exponentials. In this paper, we apply the MiniMax affine estimator to this problem in order to obtain a better performance (in terms of the mean squared error) than other unbiased estimators. Through simulations, this estimator is shown to have a reduced mean squared error, especially for the adverse case of lower signal-to-noise ratio. Additionally, a closed form expression for the MiniMax affine estimator is presented.
dc.descriptionSociedad Argentina de Informática e Investigación Operativa
dc.formatapplication/pdf
dc.format81-92
dc.languageen
dc.rightshttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.rightsCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.subjectCiencias Informáticas
dc.subjectdamped sinusoids estimation
dc.subjectaffine estimators
dc.subjectmean squared error
dc.titleMiniMax Affine Estimation of Parameters of Multiple Damped Complex Exponentials
dc.typeObjeto de conferencia
dc.typeObjeto de conferencia


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