This paper deals with the problem of source separation in the case when the observations
result from a multiple-input multiple-output convolutive mixing system. In a blind framework …

Blind source separation (BSS) techniques aim at recovering the original source signals from
observed mixtures without a priori information. The bivariate empirical mode decomposition …

The extraction of signals of interest from electrocardiogram (ECG) recordings corrupted by
noise and artifacts accepts a blind source separation (BSS) model. The BSS approach aims …

An effective technique to perform instantaneous blind source separation by considering a
reformulation of the referenced contrast (RC)[A. Adib, E. Moreau, D. Aboutajdine, Blind …

This article introduces a new frequency domain approach for either MIMO system
identification or source separation of convolutive mixtures of cyclostationary signals. We …

The paper deals with the problem of blind source extraction from a multiple-input/multiple-
output (MIMO) convolutive mixture. We define a new criterion for source extraction which …

This letter presents an eigenvector algorithm (EVA) for blind deconvolution (BD) of multiple-
input multiple-output infinite impulse response (MIMO-IIR) channels (convolutive mixtures) …

Electroencephalography (EEG) is a routinely used technique for the diagnosis and
management of epilepsy. In this context, the objective of this thesis consists in providing …

We address the problem of blind source separation using both a reference system and a
deflation approach. First, we generalize a multi-input–single-output contrast function in …

This paper presents a method for signal extraction based on conditional second-order
moments of the output of the extraction filter. The estimator of the filter is derived from an …