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Sampling Curves with Finite Rate of Innovation

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Sampling method reconstruction method and devices for sampling and/or reconstructing multidimensional signals

Martin Vetterli, Irena Maravic, Pier Luigi Dragotti

Reconstruction method and devices for two-dimensional signals that are not bandlimited but have a parametric representation with a finite number of degrees of freedom. The signal is reconstructed from the samples obtained after a suitable filtering with a ...

2003

Non-linear subdivision using local spherical coordinates

Touradj Ebrahimi, Pierre Vandergheynst, Nicolas Aspert

In this paper, we present an original non-linear subdivision scheme suitable for univariate data, plane curves and discrete triangulated surfaces, while keeping the complexity acceptable. The proposed technique is compared to linear subdivision methods hav ...

2003

Unsupervised Selective Anisotropic Feature Diffusion for Cortical Surface Registration

Jean-Philippe Thiran, Olivier Cuisenaire

In this paper we use the theory of geometric curve and surface evolution to diffuse an object preserving their important features. We do that using a curvature flow method with a novel influence function. The proposed influence function takes profit from t ...

EUROCAST2003

Sample pretreatment on microfabricated devices

Nico de Rooij

The integration of sample pretreatment into microfluidic devices represents one of the remaining hurdles towards achieving true miniaturized total analysis systems (μTAS). The challenge is made more complex by the enormous variation in samples to be analyz ...

2002

Sampling innovations

Pina Marziliano

Sampling theory has prospered extensively in the last century. The elegant mathematics and the vast number of applications are the reasons for its popularity. The applications involved in this thesis are in signal processing and communications and call out ...

EPFL2002

3-D Reconstruction of DNA Filaments from Stereo Cryo-Electron Micrographs

Michaël Unser, Thierry Blu, Mathews Jacob

We propose an algorithm for the 3-D reconstruction of DNA filaments from a pair of stereo cryo-electron micrographs. The underlying principle is to specify a 3-D model of a filament—described as a spline curve—and to fit it to the 2-D data using a snake-li ...

IEEE2002

Sampling signals with finite rate of innovation

Martin Vetterli, Pina Marziliano, Thierry Blu

Consider classes of signals that have a finite number of degrees of freedom per unit of time and call this number the rate of innovation. Examples of signals with a finite rate of innovation include streams of Diracs (e.g., the Poisson process), nonuniform ...

Institute of Electrical and Electronics Engineers2002

Femtochemistry

Majed Chergui

A review with 51 refs. of the developments leading to the advent of femtochem. is presented, along with the major achievements that have marked the past fifteen years since the birth of the field. [on SciFinder (R)] ...

2000

On the learning mechanism of adaptive filters

Ali H. Sayed

This paper highlights, both analytically and by simulations, some interesting phenomena regarding the behavior of ensemble-average learning curves of adaptive filters that may have gone unnoticed. Among other results, the paper shows that even ensemble-ave ...

IEEE2000