Abstract On the Extraction of the Snore Acoustic Signal by Independent Component Analysis (2008)
F. Vrins, J. Deswert, D. Bouvy, V. Bouillon, J. A. Lee, C. Eugène, ...
Physicians are interested in the acoustic signal of snore, because it allows them to diagnose the patient and eventually to avoid several dangerous accidents. Today, its measure is not satisfactory...
R. Sameni, F. Vrins, F. Parmentier, C. Hérail, V. Vigneron, M. Verleysen, ...
Abstract. Blind source separation (BSS) techniques have revealed to be promising approaches for the noninvasive extraction of fetal cardiac signals from maternal abdominal recordings. From previous...
Mixing and non-mixing local minima of the entropy contrast for blind source separation (2006)
In this paper, both non-mixing and mixing local minima of the entropy are analyzed from the viewpoint of blind source separation (BSS); they correspond respectively to acceptable and spurious...
F. Vrins, V. Vigneron, C. Jutten, M. Verleysen
Obstetricians were asking the engineering support to study more extensively any technical possibility to electronically get some useful information from the whole PQRST complex of the fetal...
Improving independent component analysis performances by variable selection (2003)
F. Vrins, J. A. Lee, M. Verleysen, V. Vigneron, C. Jutten
Abstract. Blind Source Separation (BSS) consists in recovering unobserved signals from observed mixtures of them. In most cases the whole set of mixtures is used for the separation, possibly after a...