Application of Affine Estimators to Single Tone Frequency Estimation

Affine estimation has emerged as a promising technique to reduce the mean squared error (MSE) between the estimated parameters and the true value of these parameters. The aim of this paper is to obtain an affine estimator for the frequency of a complex sinusoid corrupted by white gaussian noise. Add...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Gama, Fernando, Casaglia, Daniel, Cernuschi-Frías, Bruno
Formato:	Objeto de conferencia
Lenguaje:	Inglés
Publicado:	2012
Materias:	Ciencias Informáticas Single Tone Estimation Affine Estimators Mean Squared Error Adaptive Algorithm
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/123804 https://41jaiio.sadio.org.ar/sites/default/files/11_AST_2012.pdf
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

id	I19-R120-10915-123804
record_format	dspace
institution	Universidad Nacional de La Plata
institution_str	I-19
repository_str	R-120
collection	SEDICI (UNLP)
language	Inglés
topic	Ciencias Informáticas Single Tone Estimation Affine Estimators Mean Squared Error Adaptive Algorithm
spellingShingle	Ciencias Informáticas Single Tone Estimation Affine Estimators Mean Squared Error Adaptive Algorithm Gama, Fernando Casaglia, Daniel Cernuschi-Frías, Bruno Application of Affine Estimators to Single Tone Frequency Estimation
topic_facet	Ciencias Informáticas Single Tone Estimation Affine Estimators Mean Squared Error Adaptive Algorithm
description	Affine estimation has emerged as a promising technique to reduce the mean squared error (MSE) between the estimated parameters and the true value of these parameters. The aim of this paper is to obtain an affine estimator for the frequency of a complex sinusoid corrupted by white gaussian noise. Additionally, an adaptive technique is presented. The simulation results clearly show that affine estimators have better performance than unbiased estimators such as the maximum likelihood estimator (MLE) and the Fu-Kam approximation.
format	Objeto de conferencia Objeto de conferencia
author	Gama, Fernando Casaglia, Daniel Cernuschi-Frías, Bruno
author_facet	Gama, Fernando Casaglia, Daniel Cernuschi-Frías, Bruno
author_sort	Gama, Fernando
title	Application of Affine Estimators to Single Tone Frequency Estimation
title_short	Application of Affine Estimators to Single Tone Frequency Estimation
title_full	Application of Affine Estimators to Single Tone Frequency Estimation
title_fullStr	Application of Affine Estimators to Single Tone Frequency Estimation
title_full_unstemmed	Application of Affine Estimators to Single Tone Frequency Estimation
title_sort	application of affine estimators to single tone frequency estimation
publishDate	2012
url	http://sedici.unlp.edu.ar/handle/10915/123804 https://41jaiio.sadio.org.ar/sites/default/files/11_AST_2012.pdf
work_keys_str_mv	AT gamafernando applicationofaffineestimatorstosingletonefrequencyestimation AT casagliadaniel applicationofaffineestimatorstosingletonefrequencyestimation AT cernuschifriasbruno applicationofaffineestimatorstosingletonefrequencyestimation
bdutipo_str	Repositorios
_version_	1764820450281521152

Application of Affine Estimators to Single Tone Frequency Estimation

Ejemplares similares