[EN] Ultrasonic imaging of composites was investigated. Glass and carbon fiber
reinforced plastic produced by resin transfer molding and prepreg forming were analyzed. In
some of the samples air bubbles were trapped ...
[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 ...
[EN] This paper presents an application of ultrasounds and ground-penetrating radar (GPR) for analysis of historic walls. The objectives are to characterize the deformation of a historic wall under ...
The goal of this work is to present different detection
techniques and its feasibility for detecting unknown
acoustic signals with general applicability to different
noise conditions. These conditions replicate those ...
Moragues Escrivá, Jorge(Universitat Politècnica de València, 2011-11-07)
[ES] El tratamiento de señales sonoras que se reciben en un sensor o conjunto de sensores, imitando las funcionalidades propias de la percepción humana, proporciona una gran cantidad de información de gran utilidad para ...
[EN] The main aim of this study is to establish the effect of the Exploitation and Exploration; and the influence of these learning flows on the Innovative Outcome (IO). The Innovative Outcome refers to new products, ...
Sang, Yuling(Universitat Politècnica de València, 2020-10-19)
[ES] Este proyecto implementará varias técnicas (correlación y coherencia espectral) para analizar datos de imágenes de resonancia magnética funcional (fMRI) para apoyar el diagnóstico de la enfermedad de Alzheimer (EA). ...
[EN] Recent works in signal processing on graphs have been driven to estimate the precision matrix and to use it as the graph Laplacian matrix. The normalized elements of the precision matrix are the partial correlation ...
[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 ...
Jorreia, Ofélio Nazário de Sousa(Universitat Politècnica de València, 2018-10-05)
El hecho de tener imágenes obtenidas por máquinas de resonancia magnética que ilustran el funcionamiento del cerebro humano nos da la posibilidad de cuantificar por métodos estadísticos su funcionamiento, a través del ...
[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 ...
[EN] This paper presents two applications of Independent Component Analysis Mixture Modeling (ICAMM) for the classification and prediction of data. The first one of these extensions is Sequential ICAMM (SICAMM), an ICAMM ...
Soriano Tolosa, Antonio; Vergara Domínguez, Luís; Ahmed, B.; Salazar Afanador, Addisson(Massachusetts Institute of Technology Press (MIT Press): STM Titles, 2015-08)
We present a new method for fusing scores corresponding to different detectors (two hypotheses case). It is based on alpha integration, which we have adapted to the detection context. Three optimization methods are presented: ...
Soriano Tolosa, Antonio(Universitat Politècnica de València, 2014-01-07)
La presente tesis se centra en la problemática existente a la hora de implementar un
sistema de detección o clasificación binaria cuando es necesario combinar, integrar o fusionar
diversas fuentes de información que ...
Soriano Tolosa, Antonio(Universitat Politècnica de València, 2013-07-10)
[ES] Abordar el estudio estadístico y matemático del problema de fusión de N detectores se ha comprobado que es muy complicado y altamente complejo. Se tratará de obtener una solución de fusión global de los N detectores ...
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 ...
[EN] In this work, we propose a new method for oversampling the training set of a classifier, in a scenario of extreme scarcity of training data. It is based on two concepts: Generative Adversarial Networks (GAN) and vector ...
Moragues Escrivá, Jorge; Serrano Cartagena, Arturo; Vergara Domínguez, Luís; Gosálbez Castillo, Jorge(Institute of Electrical and Electronics Engineers (IEEE), 2011-08)
Standard energy detectors (ED) are optimum to detect unknown signals in presence of uncorrelated Gaussian noise. However, in real applications the signal duration and bandwidth are unpredictable and this fact can considerably ...
Lin, Tong(Universitat Politècnica de València, 2019-08-01)
[ES] Este Proyecto implementa varios tests neurosicológicos que podrían realizarse simultáneamente con la medida de señales electroencefalográficas (EEG). Por tanto, esta implementación permitiría que las señales EEG sean ...