Neutron and muon monitor networks can be used as single multidirectional spectrograph, thereby improving the detection of Ground Level Enhancements (GLEs) and of signatures from approaching interplanetary disturbances (Usoskin et al., 1997; Mavromichalaki et al., 2004). The real-time analysis of such network data, however, is often hampered by a number of practical difficulties such as data gap...

In the context of relating specific brain functions to specific brain structures, second-order blind identification (SOBI) is one of the blind source separation algorithms that have been validated extensively in the data domain of human high-density EEG. Here we provide a review of empirical data that (1) validate the claim that SOBI is capable of separating correlated neuronal sources from eac...

This paper, based on a Multipurpose survey on a large national sample of Italian households which has made possible to analyse parent-child and grandparent-child dyads, explores the impact of marital instability on relationships with adult children and with grandchildren. As in other countries, the impact is more negative in the case of divorce than in case of widowhood and, in both cases, more...

We present a new technique for achieving source separation when given only a single channel recording. The main idea is based on exploiting the inherent time structure of sound sources by learning a priori sets of basis filters in time domain that encode the sources in a statistically efficient manner. We derive a learning algorithm using a maximum likelihood approach given the observed single ...

For the last 10 years, source separation has raised an increasing interest, partly because it has been discovered that space-time approaches will play an essential role in future radio communications" Lathauwer and Comon [1]. In the case of instantaneous mixture (memoryless mixture or channel), many algorithms are proposed to solve the blind separation problem. In general case (where no special...

This paper incorporates available prior knowledge of the source waveforms into the Bayesian approach to blind source separation. The source separation model is described, prior distributions are introduced to quantify available prior knowledge regarding the model parameters, the posterior distribution for the model parameters is formed, and parameter estimation is detailed. Finally, the methods...

$EVWUDFW A general-purpose useful parameter in data analysis is the intrinsic dimension of a data set, corresponding to the minimum number of variables necessary to describe the data without significant loss of information. The knowledge of this dimension also facilitates most non-linear projection methods. We will show that the intrinsic dimension of a data set can be efficiently estimated usi...

In this paper we propose a cyclostationary approach to the problem of the foetal electrocardiogram (FECG) extraction from a set of cutaneous potential recordings of an expectant mother. We adopted a semi-blind source separation (BSS) method for which the only necessary prior knowledge is that of the fundamental cyclic frequency of the cyclostationary process to estimate. The estimated cyclostat...

The acquisition and the analysis of electrophysiological signals are often followed by the detection of parameters of clinical importance. In the case of fetal electrocardiogram signal, the presence of QRS complex is the best indicator of the fetal heart rate, as it is directly correlated with the fetal cardiac activity. However, to detect this complex, it is necessary to separate the signal fr...