Publicaties
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Fast Wavelet Based Functional Models for Transcriptome Analysis with Tiling Arrays Universiteit Hasselt Universiteit Gent KU Leuven
For a better understanding of the biology of an organism, a complete description is needed of all regions of the genome that are actively transcribed. Tiling arrays are used for this purpose. They allow for the discovery of novel transcripts and the assessment of differential expression between two or more experimental conditions such as genotype, treatment, tissue, etc. In tiling array literature, many efforts are devoted to transcript ...
Efficient multiscale phase unwrapping methodology with modulo wavelet transform Vrije Universiteit Brussel
Many robust phase unwrapping algorithms are computationally very time-consuming, making them impractical for handling large datasets or real-time applications. In this paper, we propose a generic framework using a novel wavelet transform that can be combined with many types of phase unwrapping algorithms. By inserting reversible modulo operators in the wavelet transform, the number of coefficients that need to be unwrapped is significantly ...
Wavelet based volumetric medical image compression Vrije Universiteit Brussel
The amount of image data generated each day in health care is ever increasing, especially in combination with the improved scanning resolutions and the importance of volumetric image data sets. Handling these images raises the requirement for efficient compression, archival and transmission techniques. Currently, JPEG 2000?s core coding system, defined in Part 1, is the default choice for medical images as it is the DICOM-supported compression ...
Geodesic distance between multivariate generalized Gaussian models of image wavelet statistics: an application to colour texture retrieval Universiteit Gent
Wavelet modeling and prediction of the stability of states: the Roman Empire and the European Union Universiteit Gent
IFESIS: Instantaneous frequencies estimation via subspace invariance properties of wavelet structures KU Leuven
According to the proposed method, a set of wavelet transforms of the signal is first obtained, using a structure of Complex Shifted Morlet Wavelets. No specific constraints are imposed on the center frequencies and the bandwidths of the individual wavelets, as well as on the number of wavelets used. In this way, a set of complex signals result in the time domain, equal to the number of the wavelets used. Then, the instantaneous frequencies of ...
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 Universiteit Gent
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 ...
Multiscale Granger causality analysis by à trous wavelet transform Universiteit Gent
Since interactions in neural systems occur across multiple temporal scales, it is likely that information flow will exhibit a multiscale structure, thus requiring a multiscale generalization of classical temporal precedence causality analysis like Granger's approach. However, the computation of multiscale measures of information dynamics is complicated by theoretical and practical issues such as filtering and undersampling: to overcome these ...