We present a novel approach to the blind estimation of a linear time-invariant possibly mixed-phase moving average (MA) system (channel) based on second and fourth order statistics of the stationary received signal. As the algorithm incorporates the solution of an eigenvector problem, it is termed EVI standing for EigenVector approach to blind Identification. One of EVI's main features is its a...

Le corpus littéraire traditionnellement utilisé dans l’enseignement secondaire et supérieur en FLE emprunte le plus souvent à la littérature des 19e, 20e 21e siècles, rarement aux œuvres du 16e, 17e 18e siècle presque jamais textes Moyen Âge. Plusieurs facteurs peuvent l’expliquer : l’inaccessibilité apparente de ces textes, barrière représentée par langue ancienne, une méconnaissance enseignan...

The underdetermined blind audio source separation (BSS) problem is often addressed in the time-frequency (TF) domain assuming that each TF point is modeled as an independent random variable with sparse distribution. On the other hand, methods based on structured spectral model, such as the Spectral Gaussian Scale Mixture Models (Spectral-GSMMs) or Spectral Nonnegative Matrix Factorization model...