22 citations · 33 across the 15 of their papers we have counts for
18 papers · 1 filter
Minimax Optimal Procedures for Joint Detection and Estimation
Dominik Reinhard, Michael Fauß, Abdelhak M. Zoubir
We investigate the problem of jointly testing a pair of composite hypotheses and, depending on the test result, estimating a random parameter under distributional uncertainties. Sp…
Resilient Vital Sign Monitoring Using RIS-Assisted Radar
Christian Eckrich, Abdelhak M. Zoubir, Vahid Jamali
Vital sign monitoring plays a critical role in healthcare and well-being, as parameters such as respiration and heart rate offer valuable insights into an individual's physiologica…
A Generalized Graph Signal Processing Framework for Multiple Hypothesis Testing over Networks
Xingchao Jian, Martin Gölz, Feng Ji +2
We consider the multiple hypothesis testing (MHT) problem over the joint domain formed by a graph and a measure space. On each sample point of this joint domain, we assign a hypoth…
Fronthaul-Constrained Distributed Radar Sensing
Christian Eckrich, Abdelhak M. Zoubir, Vahid Jamali
In this paper, we study a network of distributed radar sensors that collaboratively perform sensing tasks by transmitting their quantized radar signals over capacity-constrained fr…
Robust Regularized Locality Preserving Indexing for Fiedler Vector Estimation
Aylin Tastan, Michael Muma, Abdelhak M. Zoubir
The Fiedler vector of a connected graph is the eigenvector associated with the algebraic connectivity of the graph Laplacian and it provides substantial information to learn the la…
Sparsity-aware Robust Community Detection(SPARCODE)
Aylin Tastan, Michael Muma, Abdelhak M. Zoubir
Community detection refers to finding densely connected groups of nodes in graphs. In important applications, such as cluster analysis and network modelling, the graph is sparse bu…