Christian Schroth

Christian Schroth

Christian Schroth

Member of the Signal Processing Group at the Institute of Telecommunications, TU Darmstadt

Merckstr. 25
64283 Darmstadt

Office: S3|06 tba


go to list

Office Hours: Tuesday, 2-5 p.m.

Christian received the B. Sc. and M. Sc. degrees both in Electrical Engineering and Information Technology with major in Communication Engineering and Sensor Systems (CES) from Technische Universität Darmstadt, in 2017 and 2020, respectively. His bachelor thesis was entitled “Dempster-Shafer-Theory-Based Robust Sequential Detection in Distributed Sensor Networks”. During his masters he spent six month as a visiting researcher at the Temasek Laboratories@NTU (Nanyang Technology University) in Singapore, where he worked on the localization of human motions by using WiFi signals. Christian’s master thesis investigated robust cluster enumeration criteria based on elliptical and skewed distributions.

In April 2020 he joined the Signal Processing Group at TU Darmstadt and commenced working on his PhD.

Publications

Exportieren als [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Group by: Date | Item type | No grouping
Jump to: 2021 | 2018
Number of items: 4.

2021

Schroth, C. A. ; Muma, M. (2021):
Real Elliptically Skewed Distributions and Their Application to Robust Cluster Analysis.
In: IEEE Transactions on Signal Processing, 69, S. 3947-3962. IEEE, ISSN 1053-587X,
DOI: 10.1109/TSP.2021.3092373,
[Article]

Schroth, C. A. ; Muma, M. (2021):
Robust M-Estimation Based Bayesian Cluster Enumeration for Real Elliptically Symmetric Distributions.
In: IEEE Transactions on Signal Processing, 69, S. 3525-3540. IEEE, ISSN 1053-587X, e-ISSN 1941-0476,
DOI: 10.1109/TSP.2021.3072482,
[Article]

2018

Leonard, M. R. ; Schroth, C. A. ; Zoubir, A. M. (2018):
Dempster-Shafer Theory Based Robust Sequential Detection in Distributed Sensor Networks.
In: Proceedings of the IEEE Statistical Signal Processing Workshop (SSP), [Conference item]

Schroth, C. A. ; Leng, M. ; Saba, N. ; Razul, S. G. (2018):
Indoor Human Localization and Interior Structure Mapping using WiFi Signals.
S. 1-5, IEEE 23rd International Conference on Digital Signal Processing (DSP), Shanghai, China, 19-21 Nov. 2018, DOI: 10.1109/ICDSP.2018.8631675,
[Conference item]

This list was generated on Mon Oct 18 14:19:51 2021 CEST.