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Browsing by Subject "Independent component analysis"

Now showing items 1-12 of 12

Computing the Partial Correlation of ICA Models for Non-Gaussian Graph Signal Processing

Belda, Jordi; Vergara Domínguez, Luís; Safont Armero, Gonzalo; Salazar Afanador, Addisson (MDPI AG, 2019-01)

[EN] Conventional partial correlation coefficients (PCC) were extended to the non-Gaussian case, in particular to independent component analysis (ICA) models of the observed multivariate samples. Thus, the usual methods ...
Desarrollo de técnicas de minimización de interferencia de la actividad muscular de la señal electroencefalográfica durante la deglución

Mira Tomás, Juan Miguel (Universitat Politècnica de València, 2021-09-23)

[ES] La disfagia es la dificultad o la incapacidad para deglutir los alimentos o bebidas como resultado de la lesión en las áreas motoras y su conexión con el tronco encefálico. Su prevalencia es del 30-40% en personas de ...
Detección automática de la función de entrada arterial mediante análisis de componentes independientes en estudios de perfusión cerebral por resonancia magnética

Narváez Pérez, Mario Alberto (Universitat Politècnica de València, 2014-03-04)

[ES] La Función de Entrada Arterial es una variable fundamental para el Modelo Compartimental Estándar que describe la relación de la intensidad en un píxel de un tejido con las componentes intra y extra vasculares que ...
Diagnóstico de fallas mediante una LSTM y una red elástica

Márquez-Vera, M. A.; López-Ortega, O.; Ramos-Velasco, L. E.; Ortega-Mendoza, R. M.; Fernández-Neri, B. J.; Zúñiga-Peña, N. S. (Universitat Politècnica de València, 2021-04-06)

[EN] Fault diagnosis is important for industrial processes because it permits to determine the necessity of emergency stops in a process and/or to propose a maintenance plan. Two strategies for fault diagnosis are compared ...
Estimation of the Number of Endmembers in Hyperspectral Images Using Agglomerative Clustering

Prades Nebot, José; Safont Armero, Gonzalo; Salazar Afanador, Addisson; Vergara Domínguez, Luís (MDPI AG, 2020-11)

[EN] Many tasks in hyperspectral imaging, such as spectral unmixing and sub-pixel matching, require knowing how many substances or materials are present in the scene captured by a yperspectral image. In this paper, we ...
Experimental Study of Hierarchical Clustering for Unmixing of Hyperspectral Images

Prades Nebot, José; Salazar Afanador, Addisson; Safont, Gonzalo; Vergara Domínguez, Luís (IEEE, 2021-11-04)

[EN] Estimation of the number of materials that are present in a hyperspectral image is a necessary step in many hyperspectral image processing algorithms, including classification and unmixing. Previously, we presented ...
Generalized matched subspace filter for dependent noise based on ICA

Moragues Escrivá, Jorge; Vergara Domínguez, Luís; Gosálbez Castillo, Jorge (Institute of Electrical and Electronics Engineers (IEEE), 2011-07)

We propose a generalization of the matched subspace filter for the detection of unknown signals in a background of non-Gaussian and nonindependent noise. The generalization is based on a modification of the Rao test by ...
New Insights in Prediction and Dynamic Modeling from Non-Gaussian Mixture Processing Methods

Safont Armero, Gonzalo (Universitat Politècnica de València, 2015-07-29)

[EN] This thesis considers new applications of non-Gaussian mixtures in the framework of statistical signal processing and pattern recognition. The non-Gaussian mixtures were implemented by mixtures of independent component ...
Nonlinear prediction based on independent component analysis mixture modelling

Safont Armero, Gonzalo; Salazar Afanador, Addisson; Vergara Domínguez, Luís (Springer Verlag (Germany), 2011)

[EN] This paper presents a new algorithm for nonlinear prediction based on independent component analysis mixture modelling (ICAMM). The data are considered from several mutually-exclusive classes which are generated by ...
On Recovering Missing Ground Penetrating Radar Traces by Statistical Interpolation Methods

Safont Armero, Gonzalo; Salazar Afanador, Addisson; Rodriguez, Alberto; Vergara Domínguez, Luís (MDPI, 2014-08-14)

Missing traces in ground penetrating radar (GPR) B-scans (radargrams) may appear because of limited scanning resolution, failures during the acquisition process or the lack of accessibility to some areas under test. Four ...
Recent advances and applications of hyperspectral imaging for fruit and vegetable quality assessment

Lorente, D.; Aleixos Borrás, María Nuria; Gómez Sanchís, Juan; Cubero, S.; García Navarrete, Óscar Leonardo; Blasco Ivars, José (Springer Verlag, 2011-05)

[EN] Hyperspectral imaging systems are starting to be used as a scientific tool for food quality assessment. A typical hyperspectral image is composed of a set of a relatively wide range of monochromatic images corresponding ...
Técnicas de análisis de posproceso en resonancia magnetica parael estudio de la conectividad cerebral

De la Iglesia-Vayá, M; Molina Mateo, José; Escarti Fabra, Maria Jose; Martí-Bonmatí, L.; Robles Viejo, Montserrat; Meneu, Teresa; Aguilar, E.J.; Sanjuán, J (Elsevier España (Elsevier Doyma), 2011-05)

Brain connectivity is a key concept for understanding brain function. Current methods to detect and quantify different types of connectivity with neuroimaging techniques are fundamental for understanding the pathophysiology ...