activity
20112019
most citedAccelerated gradient methods for total-variation-based CT image reconstruction

23 citations · 47 across the 5 of their papers we have counts for

collaborators

6 papers

eess.SP2019

An Optimal Channel Estimation Scheme for Intelligent Reflecting Surfaces based on a Minimum Variance Unbiased Estimator

Tobias Lindstrøm Jensen, Elisabeth De Carvalho

In a wireless system with Intelligent Reflective Surfaces (IRS) containing many passive elements, we consider the problem of channel estimation. All the links from the transmitter…

math.NA2018

A Fast Interior Point Method for Atomic Norm Soft Thresholding

Thomas Lundgaard Hansen, Tobias Lindstrøm Jensen

The atomic norm provides a generalization of the -norm to continuous parameter spaces. When applied as a sparse regularizer for line spectral estimation the solution can be…

math.NA2016★ 3 cited

Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16)

V. Abrol, O. Absil, P. -A. Absil +58

The third edition of the "international - Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST) took place in Aalborg, the 4th largest city in Denmark s…

cs.IT2013★ 20 cited

Compressive Sensing for Spread Spectrum Receivers

Karsten Fyhn, Tobias Lindstrøm Jensen, Torben Larsen +1

With the advent of ubiquitous computing there are two design parameters of wireless communication devices that become very important power: efficiency and production cost. Compress…

math.NA2011★ 23 cited

Accelerated gradient methods for total-variation-based CT image reconstruction

Jakob Heide Jørgensen, Tobias Lindstrøm Jensen, Per Christian Hansen +3

Total-variation (TV)-based Computed Tomography (CT) image reconstruction has shown experimentally to be capable of producing accurate reconstructions from sparse-view data. In part…

math.NA2011★ 1 cited

Implementation of an Optimal First-Order Method for Strongly Convex Total Variation Regularization

Tobias Lindstrøm Jensen, Jakob Heide Jørgensen, Per Christian Hansen +1

We present a practical implementation of an optimal first-order method, due to Nesterov, for large-scale total variation regularization in tomographic reconstruction, image deblurr…