Publications associées à Lorentzian Iterative Hard Thresholding: Robust Compressed Sensing With Prior Information

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Sampling and Reconstruction of Shapes with Algebraic Boundaries

Martin Vetterli, Arash Amini, Mitra Fatemi

We present a sampling theory for a class of binary images with finite rate of innovation (FRI). Every image in our model is the restriction of

\mathds{1}_{\{p\leq0\}}

to the image plane, where

\mathds{1}

denotes the indicator function and

p

is some r ...

2016

Lorentzian Iterative Hard Thresholding: Robust Compressed Sensing With Prior Information

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Asian option pricing with orthogonal polynomials

Central limit theorems for multilevel Monte Carlo methods

Comment: Models Are Approximations!

Averaging Stochastic Gradient Descent on Riemannian Manifolds

Combining a 3D Reflex Based Neuromuscular Model with a State Estimator Based on Central Pattern Generators

Blowing in the Wind

Parameter Determination of Sensor Stochastic Models under Covariate Dependency

Robust Distributed Estimation by Networked Agents

Sampling and Reconstruction of Shapes with Algebraic Boundaries

Robust compressive sensing of sparse signals: A review

Averaging Stochastic Gradient Descent on Riemannian Manifolds

Asian option pricing with orthogonal polynomials

Parameter Determination of Sensor Stochastic Models under Covariate Dependency

Blowing in the Wind

Sampling and Reconstruction of Shapes with Algebraic Boundaries

Robust compressive sensing of sparse signals: A review

Robust Distributed Estimation by Networked Agents

Central limit theorems for multilevel Monte Carlo methods

Comment: Models Are Approximations!

Combining a 3D Reflex Based Neuromuscular Model with a State Estimator Based on Central Pattern Generators