Whereas most blind source separation (BSS) and blind mixture identification (BMI)
investigations concern linear mixtures (instantaneous or not), various recent works extended …

In this paper, a novel approach for performing blind source separation (BSS) in nonlinear
mixtures is proposed, and their separability is studied. It is shown that this problem can be …

This letter presents a novel approach to blind recovery of audio signals that have been
distorted by a memoryless, invertible, and smooth nonlinear function. We introduce a cost …

In this paper we propose a blind source separation method to process the data acquired by
an array of ion-selective electrodes in order to measure the ionic activity of different ions in …

This letter investigates blind identification and compensation of Hammerstein systems,
whose inputs are sparse in the frequency domain. In our analysis, the Hammerstein system …

The sampling process in electrical devices includes nonlinear distortion that needs to be
compensated to boost up the system efficiency. In this brief, a blind method is suggested for …

This paper addresses soft clipping in audio and speech signals, in which the distortion can
be approximated by an invertible polynomial. Recent proposals have shown that the sparsity …

In this paper, we propose a method for post-nonlinear blind source separation. The method
divides the separation process of post-nonlinear mixed signals into two independent stages …

Linear Blind Source Separation (BSS) has known a tremendous success in fields ranging
from biomedical imaging to astrophysics. In this work, we however propose to depart from …

Memoryless nonlinear distortion can be present in audio signals, from recording to
reproduction: bad quality or amateurishly operated equipments, physically degraded media …