نتایج جستجو برای: source separation

تعداد نتایج: 532370  

1999
Ali Mansour

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...

2002
Daniel B. Rowe D. B. ROWE

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...

1999
Nicolas Donckers Amaury Lendasse Vincent Wertz Michel Verleysen

$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...

2010
Michel Haritopoulos Cécile Capdessus Asoke K. Nandi

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...

2014
Bouabida Zohra Hadj Slimane Zinne Eddine Fethi Bereksi-Reguig

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...

Journal: :Informatica, Lith. Acad. Sci. 2012
Ganesh R. Naik

Conventional Blind Source Separation (BSS) algorithms separate the sources assuming the number of sources equals to that of observations. BSS algorithms have been developed based on an assumption that all sources have non-Gaussian distributions. Most of the instances, these algorithms separate speech signals with super-Gaussian distributions. However, in real world examples there exist speech s...

2003
Hiroshi Sawada Ryo Mukai Shoko Araki Shoji Makino

This paper presents a robust and precise method for solving the permutation problem of frequency-domain blind source separation. It is based on two previous approaches: the direction of arrival estimation approach and the inter-frequency correlation approach. We discuss the advantages and disadvantages of the two approaches, and integrate them to exploit the both advantages. We also present a c...

Journal: :Journal of Machine Learning Research 2014
Henning Sprekeler Tiziano Zito Laurenz Wiskott

We present and test an extension of slow feature analysis as a novel approach to nonlinear blind source separation. The algorithm relies on temporal correlations and iteratively reconstructs a set of statistically independent sources from arbitrary nonlinear instantaneous mixtures. Simulations show that it is able to invert a complicated nonlinear mixture of two audio signals with a high reliab...

2008
Takaaki Ishibashi Hidetoshi Nakashima Hiromu Gotanda

ICA (Independent Component Analysis) can estimate unknown source signals from their mixtures under the assumption that the source signals are statistically independent. However, in a real environment, the separation performance is often deteriorated because the number of the source signals is different from that of the sensors. In this paper, we propose an estimation method for the number of th...

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