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20132026
most citedToward Unobtrusive In-home Gait Analysis Based on Radar Micro-Doppler Signatures

165 citations · 717 across the 68 of their papers we have counts for

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Showing 2021Show all

6 papers · 1 filter

eess.SP2021★ 34 cited

Off-Grid Direction-of-Arrival Estimation Using Second-Order Taylor Approximation

Huiping Huang, Hing Cheung So, Abdelhak M. Zoubir

The problem of off-grid direction-of-arrival (DOA) estimation is investigated. We develop a grid-based method to jointly estimate the closest spatial frequency (the sine of DOA) gr…

eess.SP2021★ 14 cited

Minimax Robust Landmine Detection Using Forward-Looking Ground-Penetrating Radar

Afief Dias Pambudi, Michael Fauß, Fauzia Ahmad +1

We propose a robust likelihood-ratio test (LRT) to detect landmines and unexploded ordnance using a forward-looking ground-penetrating radar. Instead of modeling the distributions…

eess.SP2021

Multiple Hypothesis Testing Framework for Spatial Signals

Martin Gölz, Abdelhak M. Zoubir, Visa Koivunen

The problem of identifying regions of spatially interesting, different or adversarial behavior is inherent to many practical applications involving distributed multisensor systems.…

eess.SP2021

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…

cs.IT2021★ 22 cited

Minimax Robust Detection: Classic Results and Recent Advances

Michael Fauß, Abdelhak M. Zoubir, H. Vincent Poor

This paper provides an overview of results and concepts in minimax robust hypothesis testing for two and multiple hypotheses. It starts with an introduction to the subject, highlig…

eess.SP2021

Asymptotically Optimal Procedures for Sequential Joint Detection and Estimation

Dominik Reinhard, Michael Fauß, Abdelhak M. Zoubir

We investigate the problem of jointly testing multiple hypotheses and estimating a random parameter of the underlying distribution in a sequential setup. The aim is to jointly infe…