This paper deals with independence measures for linear mixtures of mutually independent random variables. Such measures, also known as contrasts, constitute useful criteria in solving blind source separation problems. By making use of the Schur convexity properties, we show that it is possible to define a wide-ranging class of contrast functions based on the auto-cumulants of the components of ...

In this paper, the tasks of speech source localization, source counting and source separation are addressed for an unknown number of sources in a stereo recording scenario. In the first stage, the angles of arrival of individual source signals are estimated through a peak finding scheme applied to the angular spectrum which has been derived using non-linear GCC-PHAT. Then, based on the known ch...

The purification and sorting of cells using microfluidic methodologies has been a remarkably active area of research over the past decade. Much of the scientific and technological work associated with microfluidic cell separation has been driven by needs in clinical diagnostics and therapeutic monitoring, most notably in the context of circulating tumor cells. The last several years have seen a...

Many density-based methods for blind signal separation employ one or more models for the unknown source distribution(s). This paper considers the issue of density model mismatch in maximum likelihood (ML)-type blind signal separation algorithms. We show that the score function nonlinearity, which was previously derived from the standpoint of statistical efficiency, is also the most robust in ma...

In many signal processing applications, the signals provided by the sensors are mixtures of many sources. The problem of separation of sources is to extract the original signals from these mixtures. A new algorithm, based on ideas of backpropagation learning, is proposed for source separation. No a priori information on the sources themselves is required, and the algorithm can deal even with no...

the satellite cells. Contaminating CD45+/Mac-1+/Sca-1+ cells were subsequently removed by MACS cell separation. Cell cycle analysis revealed that over 80% of the resulting myogenic cell population was in G0, indicating a high proportion of quiescent cells in the isolated population. RT-PCR analysis showed that the expression of three Kruppel-like factors (Klf) was increased in quiescent satelli...

In this paper, we consider the nonlinear Blind Source Separation BSS and independent component analysis (ICA) problems, and especially uniqueness issues, presenting some new results. A fundamental di6culty in the nonlinear BSS problem and even more so in the nonlinear ICA problem is that they are nonunique without a suitable regularization. In this paper, we mainly discuss three di8erent ways f...

In a previous article, an evaluation of several objective quality measures as predictors of recognition rate after application of a blind source separation algorithm was reported. In this work, the experiments were repeated using some new measures, based on the perceptual evaluation of speech quality (PESQ), which is part of the ITU P862 standard for evaluation of communication systems. The raw...