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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

Tracking Atoms with Particles

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LPN in Cryptography

AC OPF in radial distribution networks – Part II: An augmented Lagrangian-based OPF algorithm, distributable via primal decomposition

Scalable greedy algorithms for transfer learning

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

Parsing human skeletons in an operating room

MATHICSE Technical Report : Accelerated filtering on graphs using Lanczos method

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

A Fast Hadamard Transform for Signals with Sub-linear Sparsity in the Transform Domain

Unlabeled Sensing

On multiscale methods in Petrov-Galerkin formulation

LPN in Cryptography

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

AC OPF in radial distribution networks – Part II: An augmented Lagrangian-based OPF algorithm, distributable via primal decomposition

Scalable greedy algorithms for transfer learning

On multiscale methods in Petrov-Galerkin formulation

Parsing human skeletons in an operating room

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

Unlabeled Sensing

MATHICSE Technical Report : Accelerated filtering on graphs using Lanczos method

A Fast Hadamard Transform for Signals with Sub-linear Sparsity in the Transform Domain