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Constraints implementation for IQML and mode direction-of-arrival estimators
(2000-12-01)
The iterative quadratic maximum likelihood IQML and the method of direction estimation MODE are well known high resolution direction-of-arrival DOA estimation methods. Their solutions lead to an optimization problem with ...
Maximum Likelihood Estimator For The Alpha-eta-mu Fading Environment
(IEEENew York, 2016)
Precision of yule-walker methods for the arma spectral model
(2004-12-01)
In this work a new method is proposed of separated estimation for the ARMA spectral model based on the modified Yule-Walker equations and on the least squares method. The proposal of the new method consists of performing ...
Maximum Likelihood Estimator For The Alpha-kappa-mu Fading Environment
(IEEENew York, 2016)
On the Kernel selection for Minimum-Entropy estimation
(IEEE, 2002-05)
The purpose of this paper is to investigate the selection of an appropiate kernel to be used in a recent robust approach called mínimum entropy estimator (MEE), This MEE estimator is extended to measurement estimaiion and ...
Bayesian Entropy Estimation: Applications in Robust Image Filtering
(IEEE Electronics, 2012-02)
We introduce a new approach for image filtering in a Bayesian framework, in this case the probability density function (pdf) of the likelihood function is approximated using the concept of non-parametric or kernel estimation. ...
Bayesian entropy estimation applied to non-gaussian robust image segmentation
(Centro de Investigación en Matemáticas, A.C., 2012-10)
We introduce a new approach for robust image segmentation combining two strategies within a Bayesian framework. The first one is to use a Markov random field (MRF) which allows to introduce prior information with the purpose ...
New approach of entropy estimation for robust image segmentation
(ROPECIEEE, 2012-11)
In this work we introduce a new approach for robust image segmentation. The idea is to combine two strategies
within a Bayesian framework. The first one is to use a Márkov Random Field (MRF), which allows to introduce ...
Bayesian nonparametric mrf and entropy estimation for robust image filtering
(ROPEC, 2012-11)
We introduce an approach for image filtering in a Bayesian framework. In this case, the probability density function (pdf) of the likelihood function is approximated using the concept of non-parametric or kernel estimation. ...