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Browsing by Author "Solé-Casals, Jordi"

Browsing by Author "Solé-Casals, Jordi"

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  • A Canonical Genetic Algorithm for Blind Inversion of Linear Channels
    Rojas, Fernando; Solé-Casals, Jordi; Monte-Moreno, Enric; Puntonet, Carlos G.; Prieto, Alberto (Springer, 2006)
    It is well known the relationship between source separation and blind deconvolution: If a filtered version of an unknown i.i.d. signal is observed, temporal independence between samples can be used to retrieve the original ...
  • A green’s function-based Bi-dimensional empirical mode decomposition
    Al-Baddai, Saad; Al-Subari, Karema; Tomé, Ana Maria; Solé-Casals, Jordi; Lang, Elmar W. (Elsevier, 2016)
    Bidimensional Empirical Mode Decomposition (BEMD) interprets an image as a superposition of Bidimensional Intrinsic Mode Functions (BIMFs). They are extracted by a process called sifting, which encompasses two-dimensional ...
  • A non-linear VAD for noisy environments
    Solé-Casals, Jordi; Zaiats, Vladimir (Springer, 2010)
    This paper deals with non-linear transformations for improving the performance of an entropy-based voice activity detector (VAD). The idea to use a non-linear transformation has already been applied in the field of ...
  • A Preliminary Review of Behavioural Biometrics for Health Monitoring in the Elderly
    Solé-Casals, Jordi; Vancea, Mihaela; March Amengual, Jaume Miquel (2014)
    This article explores the potential of ICT-based biometrics for monitoring the health status of the elderly people. It departs from specific ageing and biometric traits to then focus on behavioural biometric traits like ...
  • A Robust Multiple Feature Approach To Endpoint Detection In Car Environment Based On Advanced Classifiers
    Comas, C.; Monte-Moreno, Enric; Solé-Casals, Jordi (Springer, 2005)
    In this paper we propose an endpoint detection system based on the use of several features extracted from each speech frame, followed by a robust classifier (i.e Adaboost and Bagging of decision trees, and a multilayer ...
  • A Simple Approximation for Fast Nonlinear Deconvolution
    Solé-Casals, Jordi; Caiafa, Cesar F. (Springer, 2011)
    When dealing with nonlinear blind deconvolution, complex mathematical estimations must be done giving as a result very slow algorithms. This is the case, for example, in speech processing or in microarray data analysis. ...
  • Adaptive Smoothing Applied to fMRI Data
    Bartés i Serrallonga, Manel; Serra Grabulosa, Josep M.; Adan, Ana; Falcón, Carles; Bargalló, Núria; Solé-Casals, Jordi (SciTePress - Science and Technology Publications, 2012)
    One problem of fMRI images is that they include some noise coming from many other sources like the heart beat, breathing and head motion artifacts. All these sources degrade the data and can cause wrong results in the ...
  • Algoritmos interactivos para la separación de fuentes y deconvolución de canal mediante Java
    Jiménez Reifs, David; Solé-Casals, Jordi; Jutten, Christian (2000)
    El objetivo de estos programas es crear una herramienta que nos permita, de una manera fácil, entender mejor la separación de fuentes y la deconvolución de canal . Por eso se presenta el diseño, mediante Java, de una ...
  • Alternative Techniques of Neural Signal Processing in Neuroengineering
    Solé-Casals, Jordi; Vialatte, François B.; Dauwels, Justin (Springer, 2015)
    Neural signal processing is a discipline within neuroengineering. This interdisciplinary approach combines principles from machine learning, signal processing theory, and computational neuroscience applied to problems in ...
  • Alzheimer disease diagnosis based on automatic spontaneous speech analysis
    Lopez-de-Ipiña, Karmele; Alonso, Jesús B.; Solé-Casals, Jordi; Barroso, Nora; Faundez-Zanuy, Marcos; Ecay-Torres, Miriam; Travieso, Carlos M.; Ezeiza, Aitzol; Estanga, A. (SciTePress - Science and Technology Publications, 2012)
    Alzheimer’s disease (AD) is the most prevalent form of progressive degenerative dementia and it has a high socio-economic impact in Western countries, therefore is one of the most active research areas today. Its diagnosis ...
  • Alzheimer Disease Diagnosis based on Automatic Spontaneous Speech Analysis
    Lopez-de-Ipiña, Karmele; Alonso, Jesús B.; Solé-Casals, Jordi; Barroso, Nora; Faundez-Zanuy, Marcos; Ecay-Torres, Miriam; Travieso, Carlos M.; Ezeiza, Aitzol; Estanga, A. (2013)
    Alzheimer’s disease (AD) is the most prevalent form of progressive degenerative dementia and it has a high socio-economic impact in Western countries, therefore is one of the most active research areas today. Its diagnosis ...
  • Application of the Mutual Information Minimization to speaker recognition / identification improvement
    Solé-Casals, Jordi; Faundez-Zanuy, Marcos (Elsevier, 2006)
    In this paper we propose the inversion of nonlinear distortions in order to improve the recognition rates of a speaker recognizer system. We study the effect of saturations on the test signals, trying to take into account ...
  • Applications of Cumulants in Speech Processing
    Zaiats, Vladimir; Solé-Casals, Jordi; Martí i Puig, Pere; Reig Bolaño, Ramon (Springer, 2010)
    This paper analyzes applications of cumulant analysis in speech processing. The main focus is made on an integral representation for cUl1luJants using integrals involving cyclic products of kernels. These integrals serve ...
  • Automatic detection of laryngeal pathologies in running speech based on the HMM transformation of the nonlinear dynamics
    Travieso, Carlos M.; Alonso, Jesús B.; Orozco-Arroyave, J.R.; Solé-Casals, Jordi; Gallego Jutglà, Esteve (Springer, 2013)
    This work describes a novel system for characterizing Laryngeal Pathologies using nonlinear dynamics, considering different complexity measures that are mainly based on the analysis of the time delay embedded space. The ...
  • Automatic Recognition of Leaves by Shape Detection Pre-Processing with Ica
    Solé-Casals, Jordi; Travieso, Carlos M.; Ferrer, Miguel A.; Alonso, Jesús B.; Briceno, Juan Carlos (Springer, 2009)
    In this work we present a simulation of a recognition process with perimeter characterization of a simple plant leaves as a unique discriminating parameter. Data coding allowing for independence of leaves size and orientation ...
  • Bases cerebrales de la atención sostenida y la memoria de trabajo: un estudio de resonancia magnética funcional basado en el Continuous Performance Test
    Bartés i Serrallonga, Manel; Adan, Ana; Solé-Casals, Jordi; Caldú i Ferrus, Xavier; Falcón, Carles; Pérez Pàmies, Montserrat; Bargalló, Núria; Serra Grabulosa, Josep M. (2014)
    Introducción. Uno de los paradigmas más utilizados en el estudio de la atención es el Continuous Performance Test (CPT). La versión de pares idénticos (CPT-IP) se ha utilizado ampliamente para evaluar los déficits de ...
  • Blind channel deconvolution of real world signals using source separation techniques
    Solé-Casals, Jordi; Monte-Moreno, Enric (Springer, 2005)
    In this paper we present a method for blind deconvolution of linear channels based on source separation techniques, for real word signals. This technique applied to blind deconvolution problems is based in exploiting ...
  • Blind Inversion of Wiener System using a minimization-projection (MP) approach
    Babaie-Zadeh, Massoud; Solé-Casals, Jordi; Jutten, Christian (2003)
    In this paper, a new algorithm for blind inversion of Wiener systems is presented. The algorithm is based on minimization of mutual information of the output samples. This minimization is done through a Minimization-Projection ...
  • Blind Inversion of Wiener Systems
    Taleb, Anisse; Solé-Casals, Jordi; Jutten, Christian (Springer, 1999)
    A system in which a linear dynamic part is followed by a non linear memoryless distortion a Wiener system is blindly inverted This kind of systems can be modelised as a postnonlinear mixture and using some results ...
  • Blind source separation for solid-state chemical Sensors Arrays
    Bermejo, Sergio; Solé-Casals, Jordi (IEEE, 2004)
    Electronic noses and tongues are two recent examples in chemical sensing that employ statistical array techniques in order to overcome the intrinsic limitations of current solid-state chemical sensors like ion-selective ...

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