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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

Analyse convexe

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Robust Tracking Commitment

Data-Driven Controller Design for Atomic-Force Microscopy

Complexity Certification of the Fast Alternating Minimization Algorithm for Linear MPC

Diffusion LMS for Multitask Problems With Local Linear Equality Constraints

Real-Time Control of an Ensemble of Heterogeneous Resources

A Data-driven Approach to Robust Control of Multivariable Systems by Convex Optimization

Faster Coordinate Descent via Adaptive Importance Sampling

Plug-and-play Voltage Stabilization in Inverter-interfaced Microgrids via a Robust Control Strategy

On Some Weighted Stokes Problems. Application on Smagorinsky Models

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

Real-Time Control of an Ensemble of Heterogeneous Resources

Complexity Certification of the Fast Alternating Minimization Algorithm for Linear MPC

Robust Tracking Commitment

A Data-driven Approach to Robust Control of Multivariable Systems by Convex Optimization

Data-Driven Controller Design for Atomic-Force Microscopy

Plug-and-play Voltage Stabilization in Inverter-interfaced Microgrids via a Robust Control Strategy

Diffusion LMS for Multitask Problems With Local Linear Equality Constraints

Faster Coordinate Descent via Adaptive Importance Sampling

On Some Weighted Stokes Problems. Application on Smagorinsky Models

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