Publications related to Analysis of fMRI Data Using Spline Wavelets

Gabor Wavelet Analysis and the Fractional Hilbert Transform

We propose an amplitude-phase representation of the dual-tree complex wavelet transform (DT-ℂWT) which provides an intuitive interpretation of the associated complex wavelet coefficients. The representation, in particular, is based on the shifting action o ...

SPIE2009

Multiresolution Monogenic Signal Analysis Using the Riesz-Laplace Wavelet Transform

Michaël Unser, Dimitri Nestor Alice Van De Ville, Daniel Sage

The monogenic signal is the natural 2-D counterpart of the 1-D analytic signal. We propose to transpose the concept to the wavelet domain by considering a complexified version of the Riesz transform which has the remarkable property of mapping a real-value ...

Institute of Electrical and Electronics Engineers2009

The Fractional Hilbert Transform and Dual-Tree Gabor-Like Wavelet Analysis

Michaël Unser, Kunal Narayan Chaudhury

We provide an amplitude-phase representation of the dual-tree complex wavelet transform by extending the fixed quadrature relationship of the dual-tree wavelets to arbitrary phase-shifts using the fractional Hilbert transform (fHT). The fHT is a generaliza ...

IEEE2009

Hydrological model performance and parameter estimation in the wavelet-domain

Bettina Schaefli

This paper proposes a method for rainfall-runoff model calibration and performance analysis in the wavelet-domain by fitting the estimated wavelet-power spectrum (a representation of the time-varying frequency content of a time series) of a simulated disch ...

European Geosciences Union2009

False Discovery Rate for Wavelet-Based Statistical Parametric Mapping

Michaël Unser, Dimitri Nestor Alice Van De Ville

Model-based statistical analysis of functional magnetic resonance imaging (fMRI) data relies on the general linear model and statistical hypothesis testing. Due to the large number of intracranial voxels, it is important to deal with the multiple compariso ...

IEEE2008

Dynamic PET Reconstruction Using Wavelet Regularization with Adapted Basis Functions

Michaël Unser, Dimitri Nestor Alice Van De Ville, Ildar Khalidov

Tomographic reconstruction from positron emission tomography (PET) data is an ill-posed problem that requires regularization. An attractive approach is to impose an

\ell_{ 1 }

-regularization constraint, which favors sparse solutions in the wavelet dom ...

Institute of Electrical and Electronics Engineers2008

A New Family of Rotation-Covariant Wavelets on the Hexagonal Lattice

Dimitri Nestor Alice Van De Ville

We present multiresolution spaces of complex rotation-covariant functions, deployed on the 2-D hexagonal lattice. The designed wavelets, which are complex-valued, provide an important phase information for image analysis, which is missing in the discrete w ...

SPIE2007

Wavelets on non-Euclidean manifolds

Iva Bogdanova Vandergheynst

This dissertation investigates wavelets as a multiscale tool on non-Euclidean manifolds. The growing importance of using non-Euclidean manifolds as a geometric model for data comes from the diversity of the data collected. In this work we mostly deal with ...

EPFL2006

Low-Rate Reduced Complexity Image Compression using Directionlets

Martin Vetterli, Vladan Velisavljevic, Pier Luigi Dragotti

The standard separable two-dimensional (2-D) wavelet transform (WT) has recently achieved a great success in image processing because it provides a sparse representation of smooth images. However, it fails to capture efficiently one-dimensional (1-D) disco ...

2006

Intra-Adaptive Motion-Compensated Lifted Wavelets for Video Coding

Pierre Vandergheynst, Oscar Divorra Escoda

In this work, we study the effect of inserting spatially local temporal adaptivity to motion compensated frame adaptive transforms for video coding. Motion compensation aligns the temporal wavelet decomposition along motion trajectories. However, valid tra ...

2004

Analysis of fMRI Data Using Spline Wavelets

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Gabor Wavelet Analysis and the Fractional Hilbert Transform

Multiresolution Monogenic Signal Analysis Using the Riesz-Laplace Wavelet Transform

The Fractional Hilbert Transform and Dual-Tree Gabor-Like Wavelet Analysis

Hydrological model performance and parameter estimation in the wavelet-domain

False Discovery Rate for Wavelet-Based Statistical Parametric Mapping

Dynamic PET Reconstruction Using Wavelet Regularization with Adapted Basis Functions

A New Family of Rotation-Covariant Wavelets on the Hexagonal Lattice

Wavelets on non-Euclidean manifolds

Low-Rate Reduced Complexity Image Compression using Directionlets

Intra-Adaptive Motion-Compensated Lifted Wavelets for Video Coding

A New Family of Rotation-Covariant Wavelets on the Hexagonal Lattice

False Discovery Rate for Wavelet-Based Statistical Parametric Mapping

Gabor Wavelet Analysis and the Fractional Hilbert Transform

Multiresolution Monogenic Signal Analysis Using the Riesz-Laplace Wavelet Transform

The Fractional Hilbert Transform and Dual-Tree Gabor-Like Wavelet Analysis

Hydrological model performance and parameter estimation in the wavelet-domain

Dynamic PET Reconstruction Using Wavelet Regularization with Adapted Basis Functions

Wavelets on non-Euclidean manifolds

Intra-Adaptive Motion-Compensated Lifted Wavelets for Video Coding

Low-Rate Reduced Complexity Image Compression using Directionlets