Suppose that we have r sensors and each one intends to send a fun9810427ction g (eg, a
signal or an image) to a receiver common to all r sensors. During transmission, each g gets …

Blind source separation (BSS) is a challenging matrix factorization problem that plays a
central role in multichannel imaging science. In a large number of applications, such as …

Suppose that one receives the superposition of r signals and each of them passes through
an unknown channel, can we correctly recover the signals and their corresponding channels …

Data or signal separation is one of the critical areas of data analysis. In this work, the
problem of non-negative data separation is considered. The problem can be briefly …

Résumé La nouvelle génération d'instrument d'interféromètre radio, tels que LOFAR et SKA,
nous permettra de construire des images radio à haute résolution angulaire et avec une …

The new generation of radio interferometer instruments, such as LOFAR and SKA, will allow
us to build radio images with very high angular resolution and sensitivity. One of the major …

Abstract Analysis of a complex system as a whole, and the limitations of traditional statistical
analysis led towards the search of robust methods in data analysis. In the current information …