Publications associées à A Fast Thresholded Landweber Algorithm for Wavelet-Regularized Multidimensional Deconvolution

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Exact Algorithms for $ L ^{ 1 } $ -TV Regularization of Real-Valued or Circle-Valued Signals

Michaël Unser, Martin Kurt Storath

We consider

L ^{ 1 }

-TV regularization of univariate signals with values on the real line or on the unit circle. While the real data space leads to a convex optimization problem, the problem is nonconvex for circle-valued data. In this paper, we deriv ...

SIAM2016

A Fast Thresholded Landweber Algorithm for Wavelet-Regularized Multidimensional Deconvolution

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A Catalyst Framework for Minimax Optimization

Asymptotically Optimal Contextual Bandit Algorithm Using Hierarchical Structures

Super Resolution Phase Retrieval for Sparse Signals

DeconvolutionLab2: An Open-Source Software for Deconvolution Microscopy

Exact Algorithms for $ L ^{ 1 } $ -TV Regularization of Real-Valued or Circle-Valued Signals

A Comment on “Computational Complexity of Stochastic Programming Problems”

K-Adaptability in Two-Stage Distributionally Robust Binary Programming

K-Adaptability in Two-Stage Robust Binary Programming

Method and apparatus for low complexity spectral analysis of bio-signals

On multiscale methods in Petrov-Galerkin formulation

A Catalyst Framework for Minimax Optimization

Exact Algorithms for $ L ^{ 1 } $ -TV Regularization of Real-Valued or Circle-Valued Signals

A Comment on “Computational Complexity of Stochastic Programming Problems”

K-Adaptability in Two-Stage Distributionally Robust Binary Programming

K-Adaptability in Two-Stage Robust Binary Programming

Super Resolution Phase Retrieval for Sparse Signals

Method and apparatus for low complexity spectral analysis of bio-signals

On multiscale methods in Petrov-Galerkin formulation

DeconvolutionLab2: An Open-Source Software for Deconvolution Microscopy

Asymptotically Optimal Contextual Bandit Algorithm Using Hierarchical Structures