A method that combines the maximum likelihood and the method of moments for estimating the parameters of the K distribution is proposed. The method results in the lowest variance of parameter estimates when compared with existing non-ML techniques
Probabilistic models have been used extensively in the past to underpin classification algorithms in...
Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Fundação de Amparo à Pesquisa do...
Due to copyright restrictions, the access to the full text of this article is only available via sub...
A method that combines the maximum likelihood and the method of moments for estimating the parameter...
The K-distribution is an important probability distribution to describe radar reflectivity of clutte...
Abstract-The K-distribution is widely applied in synthetic aperture radar (SAR) image processing. Ho...
We propose a method for estimating the parameters of the K- distribution on a manner which significa...
The K-distribution is an important probability distribution to describe the radar reflectivity of gr...
In this paper, we derive a new method for estimating the parameters of the K distribution when a lim...
of the bachelor's thesis Title: Parameter estimation of random variables distribution Author: Bc. Ba...
The kappa - mu distribution is a general fading model applied to predict multipath faded envelope in...
This report consists of three parts, the first one dealing with the unbiased, minimum-variance estim...
Abstract. Detection performance of the maritime radars is often limited by the unwanted sea echo or ...
The detection performance of maritime radars is restricted by the unwanted sea echo or clutter which...
It is often necessary to find a Weibull distribution with specified mean, variance, and location par...
Probabilistic models have been used extensively in the past to underpin classification algorithms in...
Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Fundação de Amparo à Pesquisa do...
Due to copyright restrictions, the access to the full text of this article is only available via sub...
A method that combines the maximum likelihood and the method of moments for estimating the parameter...
The K-distribution is an important probability distribution to describe radar reflectivity of clutte...
Abstract-The K-distribution is widely applied in synthetic aperture radar (SAR) image processing. Ho...
We propose a method for estimating the parameters of the K- distribution on a manner which significa...
The K-distribution is an important probability distribution to describe the radar reflectivity of gr...
In this paper, we derive a new method for estimating the parameters of the K distribution when a lim...
of the bachelor's thesis Title: Parameter estimation of random variables distribution Author: Bc. Ba...
The kappa - mu distribution is a general fading model applied to predict multipath faded envelope in...
This report consists of three parts, the first one dealing with the unbiased, minimum-variance estim...
Abstract. Detection performance of the maritime radars is often limited by the unwanted sea echo or ...
The detection performance of maritime radars is restricted by the unwanted sea echo or clutter which...
It is often necessary to find a Weibull distribution with specified mean, variance, and location par...
Probabilistic models have been used extensively in the past to underpin classification algorithms in...
Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Fundação de Amparo à Pesquisa do...
Due to copyright restrictions, the access to the full text of this article is only available via sub...