Publications
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Wavelet modeling and prediction of the stability of states: the Roman Empire and the European Union Ghent University
A wavelet approach for estimating chlorophyll-A from inland waters with reflectance spectroscopy Vrije Universiteit Brussel
This letter presents an application of continuous wavelet analysis, providing a new semi-empirical approach to estimate Chlorophyll-a (Chl-a) in optically complex inland waters. Traditionally spectral narrow band ratios have been used to quantify key diagnostic features in the remote sensing signal to estimate concentrations of optically active water quality constituents. However, they cannot cope easily with shifts in reflectance features ...
Real-time texture sampling and reconstruction with wavelet filters Vrije Universiteit Brussel
Currently, the use of the 2D wavelet transform in texture compression for real-time texture mapping on the GPU is limited. The main cause of this is the lack of real-time texture filtering implementations which do not require specialized hardware. This work proposes a novel system to perform 2D wavelet reconstruction and bilinear texture filtering using a high performance GPU shader. The system is able to generate a performant GLSL shader for ...
Pearson correlation and discrete wavelet transform for crack identification in steel beams Ghent University
Discrete wavelet transform is the useful means for crack identification of beam structures. However, its accuracy is severely dependent on the selecting mother wavelet and vanishing moments, which raises a significant challenge in practical structural crack identification. In this paper, a novel approach is introduced for structural health monitoring of beams to fix this challenge. The approach is based on the combination of statistical ...
The near shift-invariance of the dual-tree complex wavelet transform revisited Vrije Universiteit Brussel
The dual-tree complex wavelet transform (DT-CWT) is an enhancement of the conventional discrete wavelet transform (DWT) due to a higher degree of shift-invariance and a greater directional selectivity, finding its applications in signal and image processing. This paper presents a quantitative proof of the superiority of the DT-CWT over the DWT in case of modulated wavelets.
Test-retest reliability of wavelet - and Fourier based EMG (instantaneous) median frequencies in the evaluation of back and hip muscle fatigue during isometric back extensions KU Leuven Ghent University
The present study aimed at assessing the test-retest reliability of wavelet - and Fourier derived (instantaneous) median frequencies of surface electromyographic (EMG) measurements of back and hip muscles during isometric back extensions. Twenty healthy subjects (10 males and 10 females) performed a modified Biering-Sørensen test on two separate days, with a 1-week interval between the two tests. Surface EMG measurements were bilaterally ...
Assessment of Voltage Sag Indices Based on Scaling and Wavelet Coefïcient Energy Analysis KU Leuven
The two main voltage sag indices are magnitude and duration, defined in terms of the well-known rms voltages. The spectral energy of the voltages provides the same voltage sag indices of the rms voltage analysis and less computational effort is required. However, neither of them provide point on wave of sag initiation and recovery. This paper presents a wavelet-based methodology for the characterization of voltage sags, where the spectral energy ...
Scalable texture compression using the wavelet transform Vrije Universiteit Brussel
2D texture data represent one of the main data sources in 3D graphics, requiring large amounts of memory and bandwidth. Texture compression is of critical importance in this context to cope with these bottlenecks. To improve upon the available supported texture compression systems, several transform-based solutions have been proposed. These solutions, however, are not suitable for real-time texture sampling or provide insufficient image quality ...
Testing a multivariate model for wavelet coefficients Ghent University
In this paper, we introduce a Goodness-of-Fit test for the Multivariate Exponential Power (MEP) distribution, a multivariate extension of the Generalized Gaussian, which has recently gained considerable interest as a model for wavelet coefficients in the context of color image retrieval and spread-spectrum watermarking. We present a size and power study of this test and show Goodness-of-Fit results for wavelet coefficients of natural and texture ...