33 citations · 41 across the 13 of their papers we have counts for
5 papers · 1 filter
Gohberg-Semencul Estimation of Toeplitz Structured Covariance Matrices and Their Inverses
Benedikt Böck, Dominik Semmler, Benedikt Fesl +2
When only few data samples are accessible, utilizing structural prior knowledge is essential for estimating covariance matrices and their inverses. One prominent example is knowing…
Variational Inference Aided Estimation of Time Varying Channels
Benedikt Böck, Michael Baur, Valentina Rizzello +1
One way to improve the estimation of time varying channels is to incorporate knowledge of previous observations. In this context, Dynamical VAEs (DVAEs) build a promising deep lear…
Learning a Compressive Sensing Matrix with Structural Constraints via Maximum Mean Discrepancy Optimization
Michael Koller, Wolfgang Utschick
We introduce a learning-based algorithm to obtain a measurement matrix for compressive sensing related recovery problems. The focus lies on matrices with a constant modulus constra…
Model Order Selection in DoA Scenarios via Cross-Entropy based Machine Learning Techniques
Andreas Barthelme, Reinhard Wiesmayr, Wolfgang Utschick
In this paper, we present a machine learning approach for estimating the number of incident wavefronts in a direction of arrival scenario. In contrast to previous works, a multilay…
User Demand Based Precoding for G.fast DSL Systems
Andreas Barthelme, Michael Joham, Rainer Strobel +1
It can be observed that the achievable rate region of a G.fast DSL system is no longer rectangular, as it is the case for vectored VDSL systems, due to stronger crosstalk couplings…