David Schenck

David Schenck M.Sc.

+49 6151 16-20336
+49 6151 16-20339

Magdalenenstraße 4
64289 Darmstadt

Raum: S1|19 11

Research Interests

  • Statistical Signal Processing
  • Random Matrix Theory
  • Sensor Array Processing
  • Direction-of-Arrival Estimation

Short CV

David received his B.Sc. and M.Sc. in Electrical Engineering and Information Technology with major in Communication Engineering and Sensor Systems (CES) from Technische Universität Darmstadt in October 2016 and April 2019, respectively.

In May 2019 David joined the Communication Systems Group (NTS) to work on his doctoral degree.


  • Deterministic Signals and Systems
  • Project Seminar Advanced Algorithms for Smart Antenna Systems
  • Project Seminar Procedures for Massive MIMO and 5G


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Gruppiere nach: Publikationsjahr | Typ des Eintrags | Keine Gruppierung
Springe zu: 2021 | 2020 | 2019 | 2017
Anzahl der Einträge: 8.


Schenck, David ; Hoang-Minh, Trinh ; Pesavento, Marius (2021):
Partially Relaxed Fourier Domain Direction of Arrival Estimation.
In: 29th European Signal Processing Conference (EUSIPCO 2021): Proceedings,
IEEE, 29th European Signal Processing Conference, virtual Conference, 23.-27.08.2021, ISSN 2219-5491, e-ISSN 2076-1465, ISBN 978-1-6654-0900-1,
DOI: 10.23919/EUSIPCO54536.2021.9616338,

Schenck, David ; Mestre, Xavier ; Pesavento, Marius (2021):
Probability of Resolution of G-MUSIC: An Asymptotic Approach.
In: 2021 IEEE International Conference on Acoustics, Speech and Signal Processing: Proceedings, S. 4360-4364,
IEEE, IEEE International Conference on Acoustics,Speech and Signal Processing, Toronto, Canada (virtuell), 06.-11.06.2021, e-ISSN 2379-190X, ISBN 978-1-7281-7605-5,
DOI: 10.1109/ICASSP39728.2021.9414025,


Schenck, David ; Mester, Xavier ; Pesavento, Marius (2020):
Probability of Resolution of Partially Relaxed Deterministic Maximum Likelihood: An Asymptotic Approach.
In: Transactions on Signal Processing, S. 1-16. ISSN 1053-587X, e-ISSN 1941-0476,
DOI: 10.1109/TSP.2020.2993990,

Schenck, David ; Mestre, Xavier ; Pesavento, Marius (2020):
Asymptotic Stochastic Analysis of Partially Relaxed DML.
45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020), Barcelona, Spain, 04.-08.05.2020, [Konferenzveröffentlichung]

Müller, Raphael ; Schenck, David ; Allevato, Gianni ; Rutsch, Matthias ; Hinrichs, Jan ; Kupnik, Mario ; Pesavento, Marius (2020):
Dictionary-Based Learning for 3D-Imaging with Air-Coupled Ultrasonic Phased Arrays.
In: Proceedings of the 2020 IEEE International Ultrasonics Symposium (IUS),
IEEE, International Ultrasonics Symposium (IUS 2020), virtual Conference, 07.-11.09.2020, e-ISSN 1948-5727, ISBN 978-1-7281-5448-0,
DOI: 10.1109/IUS46767.2020.9251726,


Schenck, David ; Mestre, Xavier ; Pesavento, Marius (2019):
Probability of Resolution of Partially Relaxed DML an Asymptotic Approach.
2019 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Guadeloupe, West Indies, 15.-18.12.2019, [Konferenzveröffentlichung]

Schenck, David ; Trinh Hoang, Minh ; Mestre, Xavier ; Viberg, Mats ; Pesavento, Marius (2019):
Full Covariance Fitting DoA Estimation Using Partial Relaxation Framework.
EUSIPCO - 27th European Signal Processing Conference, A Coruna, Spain, 02.-06.09.2019, [Konferenzveröffentlichung]


Schenck, David ; Taleb, Dima ; Pesavento, Marius ; Sezgin, Aydin (2017):
General Rank Beamforming Using High Order OSTBC for Multicasting Networks.
21st International Workshop on Smart Antennas, Berlin, Germany, 15-17 March 2017, [Konferenzveröffentlichung]

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