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author = "Kuruoglu E. E."
<< < 1 2 3 4 > >>

Found 37 documents, displaying page 2 of 4

Bind separation of time-correlated sources from noisy data

Author(s) : Tonazzini A. , Bedini L. , Kuruoglu E. E. , Salerno E.
Description : This paper deals with the blind separation and reconstruction of source signals from their mixtures with unknown coefficients, in the practical case where some amount of noise affects the mixtures themselves. We address the blind source separation problem within the ICA approach, i.e. assuming the s...
Repository : National Research Council Pisa - ISTI Repository
Language(s) : English

Numerical experiments on blind separation of astrophysical maps by independent factor analysis

Author(s) : Kuruoglu E. E. , Bedini L. , Paratore M. T. , Tonazzini A.
Description : The celestial microwave radiation is generated by various astrophysical sources. Measuring this radiation does not enable us to immediately extract information about the sources, since the individual signals are superimposed to one another all over the measurement bandwidth. Each source process radi...
Repository : National Research Council Pisa - ISTI Repository
Language(s) : English

Bagimsiz etmen çözümlemesi kullanarak astronomi imgelerinde bilesen ayristirilmasi = Component separation in astronomy images using independent factor analysis

Author(s) : Kuruoglu E. E. , Bedini L. , Salerno E.
Description : No abstract available
Repository : National Research Council Pisa - ISTI Repository
Language(s) : English

Source Separation of Astrophysical Images Using Particle Filters

Author(s) : Costagli M. , Kuruoglu E. E. , Ahmed A.
Description : The problem of separating a superposition of different, simultaneous signals from their mixture appears very frequently in various fields of engineering, such as speech processing, telecommunications, biomedical imaging and financial data analysis. In this work, we will confront the problem of sourc...
Repository : National Research Council Pisa - ISTI Repository
Language(s) : English

Bayesian inference on mixtures of stable densities

Author(s) : Kuruoglu E. E. , Salas-Gonzalez D. , Ruiz D. P.
Description : Stable distributions have attracted significant interest over the last decade in applications ranging from telecommunications to finance and from radar signal processing to biomedicine. This popularity is due to the fact that stable distributions provide a very flexible framework for modelling signa...
Repository : National Research Council Pisa - ISTI Repository
Language(s) : English

Estimation of Time-Varying Autoregressive Symmetric Alpha Stable Processes by Particle Filters

Author(s) : Gencaga D. , Kuruoglu E. E. , Ertuzun A.
Description : In this work, we propose a novel method to model time-varying autoregressive impulsive signals, which possess Symmetric Alpha Stable distributions. The proposed method is composed of a particle filter, which is capable of estimating the unknown, timevarying autoregressive coefficients and a Hybrid M...
Repository : National Research Council Pisa - ISTI Repository
Language(s) : English

Modelling of non-stationary autoregressive alpha stable processes with particle filters

Author(s) : Gencaga D. , Ertuzun A. , Kuruoglu E. E.
Description : In this work, we propose a novel method to model time-varying autoregressive impulsive signals, which possess skewed or symmetric Alpha Stable distributions. The main contribution of this work is its ability to model both the unknown autoregressive coefficients and the distribution parameters, where...
Repository : National Research Council Pisa - ISTI Repository
Language(s) : English

Fully bayesian blind source separation of astrophysical images modelled by mixture of Gaussians

Author(s) : Wilson S. , Kuruoglu E. E. , Salerno E.
Description : In this work, we address the problem of source separation in the presence of prior information. We develop a fully Bayesian source separation technique which assumes a generic model for the sources, namely Gaussian mixtures with a priori unknown number of components and utilise Markov chain Monte Ca...
Repository : National Research Council Pisa - ISTI Repository
Language(s) : English

Image separation using iterated posterior point estimation

Author(s) : Kayabol K. , Kuruoglu E. E. , Sankur B.
Description : In this study, we introduce a new method for image separation problem using Monte Carlo (MC) integration method. The proposed method stands between Gibbs sampling and deterministic optimization based Iterated Conditional Mode (ICM) methods. In this sense, it incorporates the better of the two paradi...
Repository : National Research Council Pisa - ISTI Repository
Language(s) : English

Alpha-stable statistical modeling and application of marginal price in electricity market

Author(s) : Chen Q. , Chenchi L. , Kuruoglu E. E. , Yan Z.
Description : In the electricity market, modeling marginal price facilitates to solve many problems in it. To model the probability density function (PDF) of system marginal price (SMP) in the spot market, positivism analysis on SMP PDF is presented in this paper. In contract to the weakness of some traditional p...
Repository : National Research Council Pisa - ISTI Repository
Language(s) : English
<< < 1 2 3 4 > >>

Found 37 documents, displaying page 2 of 4