25 citations · 42 across the 9 of their papers we have counts for
5 papers · 1 filter
Quantifying and Computing Covariance Uncertainty
Filip Elvander, Johan Karlsson, Toon van Waterschoot
In this work, we consider the problem of bounding the values of a covariance function corresponding to a continuous-time stationary stochastic process or signal. Specifically, for…
Mixed-Spectrum Signals -- Discrete Approximations and Variance Expressions for Covariance Estimates
Filip Elvander, Johan Karlsson
The estimation of the covariance function of a stochastic process, or signal, is of integral importance for a multitude of signal processing applications. In this work, we derive c…
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…
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…
Non-Coherent Sensor Fusion via Entropy Regularized Optimal Mass Transport
Filip Elvander, Isabel Haasler, Andreas Jakobsson +1
This work presents a method for information fusion in source localization applications. The method utilizes the concept of optimal mass transport in order to construct estimates of…