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20142025
most citedSplines are Universal Solutions of Linear Inverse Problems with Generalized-TV regularization

75 citations · 211 across the 27 of their papers we have counts for

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Showing 2017Show all

6 papers · 1 filter

math.FA2017★ 3 cited

Beyond Wiener's Lemma: Nuclear Convolution Algebras and the Inversion of Digital Filters

Julien Fageot, Michael Unser, John Paul Ward

A convolution algebra is a topological vector space that is closed under the convolution operation. It is said to be inverse-closed if each element of w…

cs.IT2017

Angular Accuracy of Steerable Feature Detectors

Zsuzsanna Püspöki, Arash Amini, Julien Fageot +2

The detection of landmarks or patterns is of interest for extracting features in biological images. Hence, algorithms for finding these keypoints have been extensively investigated…

math.FA2017

Compactly-Supported Smooth Interpolators for Shape Modeling with Varying Resolution

Daniel Schmitter, Julien Fageot, Anaïs Badoual +2

In applications that involve interactive curve and surface modeling, the intuitive manipulation of shapes is crucial. For instance, user interaction is facilitated if a geometrical…

math.PR2017

The Domain of Definition of the Lévy White Noise

Julien Fageot, Thomas Humeau

It is possible to construct Lévy white noises as generalized random processes in the sense of Gel'fand and Vilenkin, or as an independently scattered random measures introduced by…

math.PR2017★ 1 cited

Gaussian and Sparse Processes Are Limits of Generalized Poisson Processes

Julien Fageot, Virginie Uhlmann, Michael Unser

The theory of sparse stochastic processes offers a broad class of statistical models to study signals. In this framework, signals are represented as realizations of random processe…

math.PR2017★ 6 cited

The n-term Approximation of Periodic Generalized Lévy Processes

Julien Fageot, Michael Unser, John Paul Ward

In this paper, we study the compressibility of random processes and fields, called generalized Lévy processes, that are solutions of stochastic differential equations driven by …