38 citations · 195 across the 35 of their papers we have counts for
3 papers · 1 filter
An RKHS Approach to Estimation with Sparsity Constraints
Alexander Jung
The investigation of the effects of sparsity or sparsity constraints in signal processing problems has received considerable attention recently. Sparsity constraints refer to the a…
Compressive Nonparametric Graphical Model Selection For Time Series
Alexander Jung, Reinhard Heckel, Helmut Bölcskei +1
We propose a method for inferring the conditional indepen- dence graph (CIG) of a high-dimensional discrete-time Gaus- sian vector random process from finite-length observations. O…
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…