Publications
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Cognitive Radios: Discriminant Analysis for Automatic Signal Detection in Measured Power Spectra Vrije Universiteit Brussel
Signal detection of primary users for cognitive radios enables spectrum use agility. In normal operation conditions, the sensed spectrum is nonflat, i.e., the power spectrum is not constant. A novel method proposes the segmentation of the measured spectra into regions where the flatness condition is approximately valid. As a result, an automatic detection of the significant spectral components together with an estimate of the magnitude of the ...
An Operational Characterization for Optimal Observation of Potential Properties in Quantum Theory and Signal Analysis Vrije Universiteit Brussel
Quantum logic introduced a paradigm shift in the axiomatization of quantum theory by looking directly at the structural relations between the closed subspaces of the Hilbert space of a system. The one dimensional closed subspaces correspond to testable properties of the system, forging an operational link between theory and experiment. Thus a property is called actual, if the corresponding test yields "yes" with certainty. We argue a truly ...
Novel methods of chaos detection of active magnetic bearing (AMB) system by signal analysis Vrije Universiteit Brussel
In this article the chaotic behavior of Active Magnetic Bearing is studied by two methods through their time series (signal). Besides the methods which are using for diagnosis of the chaotic behavior, the work presents an application of the embedding dimension concept. The embedding dimension can be used for estimating the order of the dynamical system.
Diffusion-compensated correlation analysis of frequency-modulated thermal signal for quantitative infrared thermography Ghent University
Signal acquisition and analysis of ambulatory electromyographic recordings for the assessment of sleep bruxism: A scoping review KU Leuven
BACKGROUND: Ambulatory electromyographic (EMG) devices are increasingly being used in sleep bruxism studies. EMG signal acquisition, analysis and scoring methods vary between studies. This may impact comparability of studies and the assessment of sleep bruxism in patients. OBJECTIVES: (a) To provide an overview of EMG signal acquisition and analysis methods of recordings from limited-channel ambulatory EMG devices for the assessment of sleep ...
Phase-rectified signal averaging method to predict perinatal outcome in infants with very preterm fetal growth restriction- a secondary analysis of TRUFFLE-trial KU Leuven
BACKGROUND: Phase-rectified signal averaging, an innovative signal processing technique, can be used to investigate quasi-periodic oscillations in noisy, nonstationary signals that are obtained from fetal heart rate. Phase-rectified signal averaging is currently the best method to predict survival after myocardial infarction in adult cardiology. Application of this method to fetal medicine has established significantly better identification than ...
Automatic test signal generation for mixed-signal integrated circuits using circuit partitioning and interval analysis KU Leuven
© 2016 IEEE. A method is presented to address the automatic generation of test signals for analog and mixed-signal integrated circuits. No restriction on the number of inputs or the nonlin-earity of the circuit are made. The circuit under consideration is first decomposed into a set of sub-circuits, called blocks, in order to break down the complexity of the problem. The effect of a targeted fault is then automatically analyzed at the transistor ...
Dynamic resting state fMRI analysis in mice reveals a set of Quasi-Periodic Patterns and illustrates their relationship with the global signal KU Leuven University of Antwerp
Time-resolved 'dynamic' over whole-period 'static' analysis of low frequency (LF) blood-oxygen level dependent (BOLD) fluctuations provides many additional insights into the macroscale organization and dynamics of neural activity. Although there has been considerable advancement in the development of mouse resting state fMRI (rsfMRI), very little remains known about its dynamic repertoire. Here, we report for the first time the detection of a ...
On signal and extraneous roots in Singular Spectrum Analysis Vrije Universiteit Brussel
In the present paper we study properties of roots of characteristic polynomials for the linear recurrent formulae (LRF) that govern time series. We also investigate how the values of these roots affect Singular Spectrum Analysis implications, in what concerns separation of components, SSA forecasting and related signal parameter estimation methods. The roots of the characteristic polynomial for an LRF comprise the signal roots, which determine ...