My research is focused on magnetic resonance imaging, in particular on diffusion-weighted imaging and quantitative susceptibility mapping. We develop new pulse sequences, post processing schemes, but also focus on the underlying theory.
Research projects
Wireless communications
Information theory
Signal processing
Efficient implementation of neural networks Precoding in multi-antenna systems Analysis of multidimensional Bayesian estimation
Compressive sensing for empatho-kinesthetic radar sensing
(Third Party Funds Group – Sub project)
Overall project: Empathokinästhetische Sensorik - Sensortechniken und Datenanalyseverfahren zur empathokinästhetischen
Modellbildung und Zustandsbestimmung (EmpkinS) Term: 1. July 2021 - 30. June 2025 Funding source: DFG / Sonderforschungsbereich (SFB)
Zunächst wird ein synthetisches Datenmodell erstellt. In Kooperation mit den Teilprojekten A01, A04, D04 und D05 wird dieses Modell validiert und angepasst, sowie durch echte Messdaten ersetzt, sobald diese vorliegen. Darauf aufbauend werden zur Verringerung der Messdauer bildgebender Radartechnik in EmpkinS verschiedenartige Verfahren zur Verbesserung komprimierender Abtastung erforscht: verteilt komprimierende Abtastung, adaptive komprimierende Abtastung und auf komprimierende Abtastung hin optimierte Radartestsignale.
Rosenberger, H., Bereyhi, A., & Müller, R. (2024). Graph-based Algorithms for Linear Computation Coding. In Amos Lapidoth, Stefan M. Moser (Eds.), International Zurich Seminar on Information and Communication (IZS 2024). Proceedings (pp. 62-66). Zürich, CH: ETH Zurich.
Karataev, A., Rosenberger, H., Bereyhi, A., & Müller, R. (2023). Storage Constrained Linear Computation Coding. In Ali Bilgin, Michael W. Marcellin, Joan Serra-Sagrista, James A. Storer (Eds.), Data Compression Conference Proceedings (pp. 345-). Snowbird, UT, USA: Institute of Electrical and Electronics Engineers Inc..
Ouyang, C., Bereyhi, A., Asaad, S., Müller, R., & Yang, H. (2023). Statistical-CSI-Based Antenna Selection and Precoding in Uplink MIMO. In WSA and SCC 2023 - 26th International ITG Workshop on Smart Antennas and 13th Conference on Systems, Communications, and Coding (pp. 96-101). Braunschweig, DEU: VDE Verlag GmbH.
Rosenberger, H., Fröhlich, J.S., Bereyhi, A., & Müller, R. (2023). Linear Computation Coding: Exponential Search and Reduced-State Algorithms. In Ali Bilgin, Michael W. Marcellin, Joan Serra-Sagrista, James A. Storer (Eds.), Data Compression Conference Proceedings (pp. 298-307). Snowbird, UT, USA: Institute of Electrical and Electronics Engineers Inc..
Bereyhi, A., Asaad, S., Ouyang, C., Müller, R., Schaefer, R.F., & Vincent Poor, H. (2022). How Should IRSs Scale to Harden Multi-Antenna Channels? In Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop (pp. 276-280). Trondheim, NOR: IEEE Computer Society.
Bereyhi, A., Loureiro, B., Krzakala, F., Müller, R., & Schulz-Baldes, H. (2022). Secure Coding via Gaussian Random Fields. In IEEE International Symposium on Information Theory - Proceedings (pp. 1241-1246). Espoo, FI: Institute of Electrical and Electronics Engineers Inc..
Bereyhi, A., Müller, R., & Schulz-Baldes, H. (2022). Analysis of Sparse Recovery Algorithms via the Replica Method. In Gitta Kutyniok, Holger Rauhut, Robert J. Kunsch (Eds.), Compressed Sensing in Information Processing. (pp. 145-179). Cham: Birkhäuser.
Bereyhi, A., Asaad, S., & Müller, R. (2021). Oversampled Adaptive Sensing via a Predefined Codebook. In 2021 1st IEEE International Online Symposium on Joint Communications and Sensing, JC and S 2021. Dresden, DE: Institute of Electrical and Electronics Engineers Inc..
Gäde, B., Erhardt, S., Fischer, G., & Müller, R. (2021). An Outphasing MIMO Architecture Prototype. In Proceedings of the European Microwave Week 2020. Jaarbeurs Convention Centre
Utrecht
(Virtual conference due to COVID-19).
Müller, R. (2021). On Approximation, Bounding & Exact Calculation of Average Block Error Probability for Random Code Ensembles. IEEE Transactions on Communications. https://doi.org/10.1109/TCOMM.2021.3052539
Müller, R., Gäde, B., & Bereyhi, A. (2021). Linear computation coding. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (pp. 5065-5069). Virtual, Toronto, ON, CAN: Institute of Electrical and Electronics Engineers Inc..
Bereyhi, A., Jamali, V., Müller, R., Tulino, A.M., Fischer, G., & Schober, R. (2020). A Single-RF Architecture for Multiuser Massive MIMO Via Reflecting Surfaces. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (pp. 8688-8692). Barcelona, ES: Institute of Electrical and Electronics Engineers Inc..
My research is focused on magnetic resonance imaging, in particular on diffusion-weighted imaging and quantitative susceptibility mapping. We develop new pulse sequences, post processing schemes, but also focus on the underlying theory.
Research projects
Compressive sensing for empatho-kinesthetic radar sensing
(Third Party Funds Group – Sub project)
Term: 1. July 2021 - 30. June 2025
Funding source: DFG / Sonderforschungsbereich (SFB)
Zunächst wird ein synthetisches Datenmodell erstellt. In Kooperation mit den Teilprojekten A01, A04, D04 und D05 wird dieses Modell validiert und angepasst, sowie durch echte Messdaten ersetzt, sobald diese vorliegen. Darauf aufbauend werden zur Verringerung der Messdauer bildgebender Radartechnik in EmpkinS verschiedenartige Verfahren zur Verbesserung komprimierender Abtastung erforscht: verteilt komprimierende Abtastung, adaptive komprimierende Abtastung und auf komprimierende Abtastung hin optimierte Radartestsignale.
2024
2023
2022
2021
2020
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