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In this paper we address the blind separation of an instantaneous complex mixture of statistically independent non-circular signals. We show that, if the sources are non-circular at order 2, by exploiting all the second-order information, the mixing matrix can be estimated up to a real orthogonal factor. This is based on a link with the Takagi(More)
Fast changes, in the range of milliseconds, in the optical properties of cerebral tissue are associated with brain activity and can be detected using non-invasive near-infrared spectroscopy (NIRS). These changes are assumed to be caused by changes in the light scattering properties of the neuronal tissue. The aim of this study was to develop highly(More)
In this paper, we consider the problem of blind separation of DS-CDMA signals, from convolutive mixtures received by an antenna array. We suppose that multi-path reflections occur in the far-field of this array and that intersymbol-interference is caused by large delay spread. Our receiver is deterministic and relies on a third-order tensor decomposition,(More)
Long-term electroencephalographic (EEG) recordings are important in the presurgical evaluation of refractory partial epilepsy for the delineation of the irritative and ictal onset zones. In this paper we introduce a new algorithm for an automatic, fast and objective localizing of the ictal onset zone in ictal EEG recordings. We extracted the potential(More)
In this article an accurate and efficient technique for tissue typing is presented. The proposed technique is based on Canonical Correlation Analysis, a statistical method able to simultaneously exploit the spectral and spatial information characterizing the Magnetic Resonance Spectroscopic Imaging (MRSI) data. Recently, Canonical Correlation Analysis has(More)
BACKGROUND In systems biology it is common to obtain for the same set of biological entities information from multiple sources. Examples include expression data for the same set of orthologous genes screened in different organisms and data on the same set of culture samples obtained with different high-throughput techniques. A major challenge is to find the(More)
In this paper, we present a technique for the blind separation of DS-CDMA signals received on an antenna array, for a multi-path propagation scenario that generates inter-symbol-interference. Our method relies on a new third-order tensor decomposition, which is a generalization of the parallel factor model. We start from the observation that the temporal,(More)
Abstr act − Two new gener alizations of tenso r conce pts for signa l proce ssing are prese nted. These gener ali-zatio ns are typic ally relev ant for appli cations where one tenso r consi sts of valua ble measu red data or signa ls, that shoul d be retai ned, while the secon d tenso r conta ins data or information that shoul d be rejec ted. First the(More)
In this paper we derive algebraic algorithms for the blind extraction of Constant Modulus source signals from convolutive mixtures. In the single-channel case the equalizer follows from the best rank-1 approximation of a fourth-order tensor. In the multi-channel case we consider the case of paraunitary mixtures. The solution can then be obtained by means of(More)
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