Frequency-domain blind source separation (BSS) is shown to be equivalent to two sets of frequency-domain adaptive beamformers (ABFs) under certain conditions. The zero search of the off-diagonal components in the BSS update equation can be viewed as the minimization of the mean square error in the ABFs. The unmixing matrix of the BSS and the filter coefficients of the ABFs converge to the same ...

In the framework of audio signal analysis, there have been recent significant advances in two directions: sparse and structured representation. In fact, sparse decompositions of audio signals are shown to be effective, and appear to be extremely useful in many signal processing applications: compression, source separation, noise reduction... A second point of view tries to take advantage of the...

An unsupervised classi cation algorithm is derived from an ICA mixture model assuming that the observed data can be categorized into several mutually exclusive data classes whose components are generated by linear mixtures of independent non-Gaussian sources. The algorithm nds the independent sources, the mixing matrix for each class and also computes the class membership probability for each d...

Given a set of mixtures, blind source separation attempts to retrieve the source signals without or with very little information of the mixing process. We present a geometric approach for blind separation of nonnegative linear mixtures termed facet component analysis (FCA). The approach is based on facet identification of the underlying cone structure of the data. Earlier works focus on recover...

Recent observations of the low–mass X–ray binary 4U 1636–53 with the Rossi X– ray Timing Explorer show, for the first time, a kiloHertz quasi–periodic oscillation (kHz QPO) peak separation that exceeds the neutron star spin frequency as inferred from burst oscillations. This strongly challenges the sonic–point beat frequency model for the kHz QPOs found in low–mass X–ray binaries. We detect two...

Abstract Our study of FeSe$ _ {1-x}$Te$ {x}$ crystals with x $<$ 0.15 shows that the phase separation in these compositions occurs into phases a different stoichiometry iron. This may indicate structural instability iron plane studied range compositions. We tentatively propose an explanation layered compounds terms possible change bond polarity and peculiarity direct $d-d$ exchange framework...

This paper deals with the efficient optimization problem of Cumulant-based contrast criteria in the Blind Source Separation (BSS) framework, in which sources are retrieved by maximizing the Kurtosis contrast function. Combined with the recently proposed reference-based contrast schemes, a new fast fixed-point (FastICA) algorithm is proposed for the case of linear and instantaneous mixture. Due ...

Blind Source Separation (BSS) is an effective and powerful tool for source separation and artifact removal in EEG signals. For the real time applications such as Brain Computer Interface (BCI) or clinical Neuro-monitoring, it is of prime importance that BSS is effectively performed in real time. The motivation to implement BSS in Field Programmable Gate Array (FPGA) comes from the hypothesis th...

Neural one-unit learning rules for the problem of Independent Component Analysis (ICA) and blind source separation are introduced. In these new algorithms, every ICA neuron develops into a separator that finds one of the independent components. The learning rules use very simple constrained Hebbianjanti-Hebbian learning in which decorrelating feedback may be added. To speed up the convergence o...

Multiuser Processing refers to a set of fundamental techniques for the improvement of the performances of the modern wireless communications systems. Most of these techniques have been proposed and studied for specific scenarios, according to the multiple access technology to be employed. The theory and methods of blind source separation (BSS) can provide a more general framework over which mul...