DSpace/Dipòsit Manakin

Consulteu Documents de Congressos per matèria "Tractament del senyal"

Consulteu Documents de Congressos per matèria "Tractament del senyal"

Ordena per: Ordre: Resultats:

  • 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 recursive approach to Multiscalar Data Interpolation of sparsely sampled sea surface measurements at different spatial resolutions
    Reig Bolaño, Ramon; García Ladona, Emili; Parisi Baradad, Vicenç; Martí i Puig, Pere (IEEE, 2008)
    Abstract- In many oceanographic studies there is a need to reconstruct a signal from a set of sparse measurements. We propose an algorithm to iteratively approximate the intermediate values between irregularly sampled ...
  • 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. ...
  • 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 ...
  • Coarse frequency estimation in ofdm packet oriented systems
    Martí i Puig, Pere; Sala Álvarez, J. (Institute of Electrical and Electronic Engineers, IEEE, 2001)
    In this paper we derive a fast blind coarse frequency offset estimator for OFDM systems in selective frequency channels. The estimator takes advantage of the strong structure of the OFDM signal. In packet oriented ...
  • Differences of Functional Connectivity Brain Network in Emotional Judgment
    Amadlou, Mehran; Hiyoshi-Taniguchi, Kazuko; Solé-Casals, Jordi; Fukuyama, Hironori; Cichocki, Andrej; Vialatte, François B. (Springer, 2013)
    Using combined emotional stimuli, combining photos of faces and recording of voices, we investigated the neural dynamics of emotional judgment using scalp EEG recordings. Stimuli could be either combioned in a congruent, ...
  • EEG based user recognition using BUMP modelling
    La Rocca, D.; Campisi, P.; Solé-Casals, Jordi (IEEE, 2013)
    In this paper the use of electroencephalogram (EEG) as biometric identifier is investigated. The use of EEG within the biometric framework has already been introduced in the recent past although it has not been extensively ...
  • EEG Windowed statitical wavelet deviation for estimation of muscular artifacts
    Vialatte, François B.; Solé-Casals, Jordi; Cichocki, Andrej (IEEE, 2007)
    Electroencephalographic (EEG) recordings are, most of the times, corrupted by spurious artifacts, which should be rejected or cleaned by the practitioner. As human scalp EEG screening is error-prone, automatic artifact ...
  • An Evolutionary Approach for Blind Inversion of Wiener Systems
    Rojas, Fernando; Solé-Casals, Jordi; Puntonet, Carlos G. (2007)
    The problem of blind inversion of Wiener systems can be considered as a special case of blind separation of post-nonlinear instantaneous mixtures. In this paper, we present an approach for nonlinear deconvolution of one ...
  • A Gradient based algorithm for blind inversion of Wiener System using multi-variate score functions
    Babaie-Zadeh, Massoud; Solé-Casals, Jordi; Jutten, Christian (2003)
    A Wiener system is a linear time-invariant filter, followed by an invertible nonlinear distortion. Assuming that the input signal is an independent and identically distributed (iid) sequence, we propose an algorithm ...
  • ICA as a preprocessing technique for classification
    Sánchez Poblador, Víctor Manuel; Monte-Moreno, Enric; Solé-Casals, Jordi (Springer, 2004)
    In this paper we propose the use of the independent component analysis (ICA) [1] technique for improving the classification rate of decision trees and multilayer perceptrons [2], [3]. The use of an ICA for the ...
  • Improved Sparse Bump Modeling for Electrophysiological Data
    Vialatte, François B.; Dauwels, Justin; Solé-Casals, Jordi; Maurice, Monique; Cichocki, Andrej (Springer, 2008)
    Bump modeling is a method used to extract oscillatory bursts in electrophysiological signals, who are most likely to be representative of local synchronies. In this paper we present an improved sparse bump modeling ...
  • Improving algorithm speed in PNL mixture separation and Wiener system inversion
    Solé-Casals, Jordi; Babaie-Zadeh, Massoud; Jutten, Christian; Pham, Dinh-Tuan (2003)
    This paper proposes a very simple method for increasing the algorithm speed for separating sources from PNL mixtures or invertingWiener systems. The method is based on a pertinent initialization of the inverse system, ...
  • Nonlinear prediction based on score function
    Saldamando, Luis de; Solé-Casals, Jordi; Monte-Moreno, Enric (2015)
    The linear prediction coding of speech is based in the assumption that the generation model is autoregresive. In this paper we propose a structure to cope with the nonlinear effects presents in the generation of the ...

Buscar al RIUVic


Cerca avançada

Llistar per