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A blind source separation technique using second-order statistics
TLDR
A new source separation technique exploiting the time coherence of the source signals is introduced, which relies only on stationary second-order statistics that are based on a joint diagonalization of a set of covariance matrices. Expand
Blind source separation based on time-frequency signal representations
TLDR
The effects of spreading the noise power while localizing the source energy in the t-f domain amounts to increasing the robustness of the proposed approach with respect to noise and, hence, improved performance. Expand
Underdetermined Blind Separation of Nondisjoint Sources in the Time-Frequency Domain
TLDR
Two subspace-based algorithms for TF-nondisjoint sources are proposed: one uses quadratic TFDs and the other a linear TFD, and numerical performance of the proposed methods are provided highlighting their performance gain compared to existing ones. Expand
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
Separating More Sources Than Sensors Using Time-Frequency Distributions
TLDR
A new separation method based on time-frequency distributions (TFDs) for blind separation of nonstationary sources in the underdetermined case, where there are more sources than sensors is proposed. Expand
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
Fault Diagnosis in Industrial Induction Machines Through Discrete Wavelet Transform
TLDR
This paper will study the problem of broken rotor bars, end-ring segment, and loss of stator phase during operation of induction machines based on the discrete wavelet transform. Expand
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
Time-frequency MUSIC
TLDR
Once the signal and noise subspaces are estimated, any subspace based approach, including the multiple signal classification (MUSIC) algorithm, can be applied for direction of arrival (DOA) estimation. Expand
QRS detection based on wavelet coefficients
TLDR
This paper examines the use of wavelet detail coefficients for the accurate detection of different QRS morphologies in ECG based on the power spectrum of QRS complexes in different energy levels since it differs from normal beats to abnormal ones. Expand
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