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Dr.-Ing. Steffen Steiner
Personal Data
Doctoral Researcher for Communications Engineering
Research Group Communications Engineering
Curriculum Vitae
- 2012-2016 B.SC. Information Technology / Technical Computer Science, University of Rostock, Rostock
- 2016-2017 M.SC. Information Technology / Technical Computer Science, University of Rostock, Rostock
- Since 2018 Doctoral Researcher at the Institute of Communications Engineering, University of Rostock
Research Interests
- Sensor Networks
- Distributed Compression
Publications
Articles:
1.
Steiner, S.; Aminu, A. D.; Kühn, V.:
Distributed Quantization for Partially Cooperating Sensors Using the Information Bottleneck Method. In: Entropy, vol. 24, no. 4 (3/2022)
ISSN: 1099-4300, doi:10.3390/e24040438
Distributed Quantization for Partially Cooperating Sensors Using the Information Bottleneck Method. In: Entropy, vol. 24, no. 4 (3/2022)
ISSN: 1099-4300, doi:10.3390/e24040438
2.
Steiner, S.; Kühn, V.; Stark, M.; Bauch, G.:
Reduced-Complexity Optimization of Distributed Quantization using the Information Bottleneck Principle. In: IEEE Open Journal of the Communications Society, vol. 2 (5/2021), pp. 1267-1278
doi:10.1109/OJCOMS.2021.3083569
Reduced-Complexity Optimization of Distributed Quantization using the Information Bottleneck Principle. In: IEEE Open Journal of the Communications Society, vol. 2 (5/2021), pp. 1267-1278
doi:10.1109/OJCOMS.2021.3083569
Contributions to Proceedings:
3.
Steiner, S.; Kühn, V.:
Distributed Compression for Partially Cooperating Sensors and Gaussian Relevant Signals. WSA+SCC 2023, Braunschweig, Germany, 2023
Distributed Compression for Partially Cooperating Sensors and Gaussian Relevant Signals. WSA+SCC 2023, Braunschweig, Germany, 2023
4.
Müller, C.-K.; Steiner, S.; Kühn, V.:
Information Bottleneck Optimization of a Finite Bit Resolution Fast Fourier Transform. IEEE Symposium on Computers and Communications (ISCC '22), Rhodes Island, Greece, 2022
doi:10.1109/ISCC55528.2022.9913001
Information Bottleneck Optimization of a Finite Bit Resolution Fast Fourier Transform. IEEE Symposium on Computers and Communications (ISCC '22), Rhodes Island, Greece, 2022
doi:10.1109/ISCC55528.2022.9913001
5.
Steiner, S.; Kühn, V.; Stark, M.; Bauch, G.:
Reduced-Complexity Greedy Distributed Information Bottleneck Algorithm. IEEE Statistical Signal Processing Workshop (SSP), Rio de Janeiro, Brazil, 2021
Reduced-Complexity Greedy Distributed Information Bottleneck Algorithm. IEEE Statistical Signal Processing Workshop (SSP), Rio de Janeiro, Brazil, 2021
6.
Steiner, S.; Kühn, V.:
Distributed Compression using the Information Bottleneck Principle. IEEE International Conference on Communications (ICC 2021), Montreal, Canada, 2021
Distributed Compression using the Information Bottleneck Principle. IEEE International Conference on Communications (ICC 2021), Montreal, Canada, 2021
7.
Steiner, S.; Kühn, V.:
Optimization of Distributed Quantizers Using An Alternating Information Bottleneck Approach. Workshop on Smart Antennas, Vienna, Austria, 2019
Optimization of Distributed Quantizers Using An Alternating Information Bottleneck Approach. Workshop on Smart Antennas, Vienna, Austria, 2019
8.
Prellwitz, M.; Parzyjegla, H.; Steiner, S.; Mühl, G.:
Adaptive information distribution for dynamic sets. 33rd Annual ACM Symposium on Applied Computing (SAC '18), pp. 395-402, Pau, France, 2018
doi:10.1145/3167132.3167177
Adaptive information distribution for dynamic sets. 33rd Annual ACM Symposium on Applied Computing (SAC '18), pp. 395-402, Pau, France, 2018
doi:10.1145/3167132.3167177