In this paper, we present a partial survey of the tools borrowed from tensor algebra, which
have been utilized recently in Statistics and Signal Processing. It is shown why the …

Deterministic blind beamforming algorithms try to separate superpositions of source signals
im**ing on a phased antenna array by using the deterministic properties of the signals or …

With solid theoretical foundations and numerous potential applications, Blind Signal
Processing (BSP) is one of the hottest emerging areas in Signal Processing. This volume …

The two key limiting factors facing wireless systems today are multipath interference and
multiuser interference. In this context, a challenging signal processing problem is the joint …

We develop mean-field approaches for probabilistic independent component analysis (ICA).
The sources are estimated from the mean of their posterior distribution and the mixing matrix …

We propose a novel algorithm for blind source separation (BSS), based on the second joint
characteristic function of the observations. Our algorithm belongs to the family of “closed …

Under-determined mixtures are characterized by the fact that they have more inputs than
outputs, or, with the antenna array processing terminology, more sources than sensors. The …

Community detection is a fundamental problem in knowledge discovery and data mining. In
this paper we propose a semi-binary matrix factorization (SBMF) model for community …

Providing reliable service to users close to the edge between cells remains a challenge in
cellular systems, even as 5G deployment is around the corner. These users are subject to …

Two channel estimation methods are often opposed: training sequence methods that use
the information induced by known symbols and blind methods that use the information …