Franz Pernkopf

Self-attention for Enhanced OAMP Detection in MIMO Systems

Mar 14, 2023
Alexander Fuchs, Christian Knoll, Nima N. Moghadam, Alexey Pak Jinliang Huang, Erik Leitinger, Franz Pernkopf

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* 8 pages, 2 figures, ICASSP 2023

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Variational Inference of Structured Line Spectra Exploiting Group-Sparsity

Mar 06, 2023
Jakob Möderl, Franz Pernkopf, Klaus Witrisal, Erik Leitinger

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* 13 Pages, 5 Figures. Submitted to IEEE Transactions on Signal Processing on 6th of March, 2023

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Variational Message Passing-based Respiratory Motion Estimation and Detection Using Radar Signals

Oct 14, 2022
Jakob Möderl, Erik Leitinger, Franz Pernkopf, Klaus Witrisal

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* Submitted to ICASSP 2023, 4 pages + references, 3 figures, UWB radar rar occupancy detection, variational message passing

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Active Bayesian Causal Inference

Jun 04, 2022
Christian Toth, Lars Lorch, Christian Knoll, Andreas Krause, Franz Pernkopf, Robert Peharz, Julius von Kügelgen

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* RP & JvK are shared last authors. 10 pages + references + appendices (26 pages total); 6 Figs

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Explainable Machine Learning for Breakdown Prediction in High Gradient RF Cavities

Feb 10, 2022
Christoph Obermair, Thomas Cartier-Michaud, Andrea Apollonio, William Millar, Lukas Felsberger, Lorenz Fischl, Holger Severin Bovbjerg, Daniel Wollmann, Walter Wuensch, Nuria Catalan-Lasheras, Marçà Boronat, Franz Pernkopf, Graeme Burt

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Resource-efficient Deep Neural Networks for Automotive Radar Interference Mitigation

Jan 25, 2022
Johanna Rock, Wolfgang Roth, Mate Toth, Paul Meissner, Franz Pernkopf

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* IEEE Journal of Selected Topics in Signal Processing, vol. 15, no. 4, pp. 927-940, June 2021
* 15 pages; published in IEEE Journal of Selected Topics in Signal Processing, Special Issue on Recent Advances in Automotive Radar Signal Processing, Volume: 15, Issue: 4, June 2021. arXiv admin note: text overlap with arXiv:2011.12706

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Franz Pernkopf

Self-attention for Enhanced OAMP Detection in MIMO Systems

Variational Inference of Structured Line Spectra Exploiting Group-Sparsity

Variational Message Passing-based Respiratory Motion Estimation and Detection Using Radar Signals

Active Bayesian Causal Inference

Explainable Machine Learning for Breakdown Prediction in High Gradient RF Cavities

Resource-efficient Deep Neural Networks for Automotive Radar Interference Mitigation

Distribution Mismatch Correction for Improved Robustness in Deep Neural Networks

Lung Sound Classification Using Co-tuning and Stochastic Normalization

Crackle Detection In Lung Sounds Using Transfer Learning And Multi-Input Convolitional Neural Networks

Complex-valued Convolutional Neural Networks for Enhanced Radar Signal Denoising and Interference Mitigation