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A blind source separation technique using second-order statistics
Separation of sources consists of recovering a set of signals of which only instantaneous linear mixtures are observed. In many situations, no a priori information on the mixing matrix is available:Expand
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Blind source separation based on time-frequency signal representations
Blind source separation consists of recovering a set of signals of which only instantaneous linear mixtures are observed. Thus far, this problem has been solved using statistical informationExpand
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Underdetermined Blind Separation of Nondisjoint Sources in the Time-Frequency Domain
This paper considers the blind separation of nonstationary sources in the underdetermined case, when there are more sources than sensors. A general framework for this problem is to work on sourcesExpand
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Separating More Sources Than Sensors Using Time-Frequency Distributions
We examine the problem of blind separation of nonstationary sources in the underdetermined case, where there are more sources than sensors. Since time-frequency (TF) signal processing providesExpand
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Robust whitening procedure in blind source separation context
An efficient algorithm is presented for robust whitening in the presence of temporally uncorrelated additive noise that may be spatially correlated. This whitening is introduced as a pre-processingExpand
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Second Order Blind Separation of Temporally Correlated Sources
Blind separation of sources consists in recovering a set of statistically independent signals whose only mixtures are observed. Such instantaneous mixtures occur in narrow band array data which canExpand
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Fault Diagnosis in Industrial Induction Machines Through Discrete Wavelet Transform
This paper deals with fault diagnosis of induction machines based on the discrete wavelet transform. By using the wavelet decomposition, the information on the health of a system can be extractedExpand
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Time-Frequency Signal Analysis and Processing
In an electrostatic copying apparatus, background toner particle removal is enhanced by employing a corona emission device between a development station and a background toner removal station. TheExpand
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QRS detection based on wavelet coefficients
Electrocardiogram (ECG) signal processing and analysis provide crucial information about functional status of the heart. The QRS complex represents the most important component within the ECG signal.Expand
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