2 citations · 2 across the 4 of their papers we have counts for
4 papers
Minimum Variance Estimation of a Sparse Vector within the Linear Gaussian Model: An RKHS Approach
Alexander Jung, Sebastian Schmutzhard, Franz Hlawatsch +2
We consider minimum variance estimation within the sparse linear Gaussian model (SLGM). A sparse vector is to be estimated from a linearly transformed version embedded in Gaussian…
A Lower Bound on the Noncoherent Capacity Pre-log for the MIMO Channel with Temporally Correlated Fading
Günther Koliander, Erwin Riegler, Giuseppe Durisi +2
We derive a lower bound on the capacity pre-log of a temporally correlated Rayleigh block-fading multiple-input multiple-output (MIMO) channel with T transmit antennas and R receiv…
Simultaneous Distributed Sensor Self-Localization and Target Tracking Using Belief Propagation and Likelihood Consensus
Florian Meyer, Erwin Riegler, Ondrej Hlinka +1
We introduce the framework of cooperative simultaneous localization and tracking (CoSLAT), which provides a consistent combination of cooperative self-localization (CSL) and distri…
Performance Bounds for Sparse Parametric Covariance Estimation in Gaussian Models
Alexander Jung, Sebastian Schmutzhard, Franz Hlawatsch +1
We consider estimation of a sparse parameter vector that determines the covariance matrix of a Gaussian random vector via a sparse expansion into known "basis matrices". Using the…