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Browsing by Author "Jutten, Christian"

Browsing by Author "Jutten, Christian"

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  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • Solé-Casals, Jordi; Jutten, Christian (2007)
    This paper proposes a new method for blindly inverting a nonlinear mapping which transforms a sum of random variables. This is the case of post-nonlinear (PNL) source separation mixtures. The importance of the method is ...
  • Solé-Casals, Jordi; Jutten, Christian; Pham, Dinh-Tuan (Elsevier, 2005)
    This paper proposes a very fast method for blindly approximating a nonlinear mapping which transforms a sum of random variables. The estimation is surprisingly good even when the basic assumption is not satisfied.We use ...
  • 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, ...
  • Solé-Casals, Jordi; Jutten, Christian; Pham, Dinh-Tuan (Springer, 2003)
    This paper proposes a very fast method for blindly initial- izing a nonlinear mapping which transforms a sum of random variables. The method provides a surprisingly good approximation even when the basic assumption is ...
  • Solé-Casals, Jordi; Jutten, Christian; Dinh, Tuan Pham (Universitat de Vic, 31-05-2002)
    En aquest treball es presenta un nou mètode per a la inversió cega de funcions no-lineals mitjançant la gaussianització del senyal observat. El mètode es basa en restituir el caràcter aproximadament gaussià que presenta ...
  • Solé-Casals, Jordi; Jutten, Christian; Taleb, Anisse (Elsevier, 2002)
    A parametric procedure for the blind inversion of nonlinear channels is proposed, based on a recent method of blind source separation in nonlinear mixtures. Experiments show that the proposed algorithms perform efficiently, ...
  • Solé-Casals, Jordi; Jutten, Christian (TSI Press, 2004)
    Although sources in general nonlinear mixturm arc not separable iising only statistical independence, a special and realistic case of nonlinear mixtnres, the post nonlinear (PNL) mixture is separable choosing a suited ...
  • Taleb, Anisse; Solé-Casals, Jordi; Jutten, Christian (Institute of Electrical and Electronic Engineers, IEEE, 2001)
    An e cient procedure for the blind inversion of a nonlinear Wiener system is proposed. We proved that the problem can be expressed as a problem of blind source separation in nonlinear mixtures, for which a solution has ...
  • Solé-Casals, Jordi; Jutten, Christian; Taleb, Anisse (2000)
    The prediction filters are well known models for signal estimation, in communications, control and many others areas. The classical method for deriving linear prediction coding (LPC) filters is often based on the minimization ...
  • Comabella López, Julio; Solé-Casals, Jordi; Hosseini, Sharam; Jutten, Christian (2002)
    In this article we presents a project [1] developed to demonstrate the capability that Multi-Layer Perceptrons (MLP) have to approximate non-linear functions [2]. The simulation has been implemented in Java to be used ...