Blind methods are powerful tools when very weak information is necessary. Although many algorithms can be called blind, in this paper, we focus on blind source separation (BSS) and …
L'analyse en composantes indépendantes (AGI) est une approche très générale qui a été développée pour résoudre le problème de séparation aveugle de sources (SAS) …
M IBNKAHLA, F CASTANIE - GRETSI 97: seizième colloque sur le …, 1997 - researchgate.net
Modélisation de canaux non linéaires avec mémoire par des réseaux de neu Page 1 Neural Network Modelling of Nonlinear Channels with Memory 1 1This work has been supported in part …
Abstract System identification deals with the problem of building mathematical models of dynam ical systems based on the observed data. Most contemporary studies in this field …
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 …
L Wang, M Ibnkahla - Soft Computing in Communications, 2004 - Springer
This chapter applies the natural gradient (NG) descent for adaptive identification of nonlinear channels with memory. The nonlinear channel is comprised of a discrete-time …
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 …
Abstract Independent Component Analysis (ICA) refers to a set of statistical processing techniques that estimate statistically independent sources mixed by a linear mixing matrix …
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 …