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20122023
most citedGeneralized Sinkhorn iterations for regularizing inverse problems using optimal mass transport

48 citations · 303 across the 37 of their papers we have counts for

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Showing 2019Show all

6 papers · 1 filter

math.OC2019★ 10 cited

An analytic interpolation approach to stability margins with emphasis on time delay

Axel Ringh, Johan Karlsson, Anders Lindquist

Unlike the situation with gain and phase margins in robust stabilization, the problem to determine an exact maximum delay margin is still an open problem, although extensive work h…

eess.SP2019★ 1 cited

Fusion of Sensors Data in Automotive Radar Systems: A Spectral Estimation Approach

Bin Zhu, Augusto Ferrante, Johan Karlsson +1

To accurately estimate locations and velocities of surrounding targets (cars) is crucial for advanced driver assistance systems based on radar sensors. In this paper we derive meth…

math.OC2019★ 1 cited

M-Spectral Estimation: A Relative Entropy Approach

Bin Zhu, Augusto Ferrante, Johan Karlsson +1

This paper deals with M-signals, namely multivariate (or vector-valued) signals defined over a multidimensional domain. In particular, we propose an optimization technique to s…

eess.SP2019★ 3 cited

Multi-Marginal Optimal Mass Transport with Partial Information

Filip Elvander, Isabel Haasler, Andreas Jakobsson +1

During recent decades, there has been a substantial development in optimal mass transport theory and methods. In this work, we consider multi-marginal problems wherein only partial…

math.OC2019★ 22 cited

Estimating ensemble flows on a hidden Markov chain

Isabel Haasler, Axel Ringh, Yongxin Chen +1

We propose a new framework to estimate the evolution of an ensemble of indistinguishable agents on a hidden Markov chain using only aggregate output data. This work can be viewed a…

cs.CV2019

Automatic Target Recognition Using Discrimination Based on Optimal Transport

Ali Sadeghian, Deoksu Lim, Johan Karlsson +1

The use of distances based on optimal transportation has recently shown promise for discrimination of power spectra. In particular, spectral estimation methods based on l1 regulari…