Maximilian Stark, MSc
Wissenschaftlicher Mitarbeiter
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Gebäude N, Raum 2010
+49 (0) 40 42878 2829
+49 (0) 40 427 3 14570
maximilian.stark(at)tuhh.de

Technische Universität Hamburg
Institut für Nachrichtentechnik
Eißendorfer Straße 40
D-21073 Hamburg

 

Forschungsthemen

Applications of the Information Bottleneck method in

  • decoding of channel codes (binary/nonbinary LDPC Codes, polar codes)
  • compressed sensing
  • distributed sensing in machine-to-machine communication
  • end-to-end learning in wireless communications using neural networks

 

Publikationen

[16] Shah, S. A. A.; Stark, M.; Bauch, G.: Coarsely quantized decoding and construction of polar codes using the information bottleneck method. MDPI Algorithms, Special Issue "Coding Theory and Its Application”, Vol.12, No.9, September 2019, 192 pp..DOI:10.3390/a12090192

[15] Stark, M.; Ait Aoudia, F.; Hoydis, J.: Joint Learning of Geometric and Probabilistic Constellation Shaping. IEEE Global Communications Conference (GLOBECOM), Waikoloa, Hawaii, USA, December 9-13, 2019.

[14] Bauch, G.; Stark, M.: Information bottleneck decoding of 5G protograph-based Raptor-like LDPC codes. Stuttgart Workshop on Coding and Communications (SWCC), Stuttgart, Germany, July 4-5, 2019.

[13] Stark, M.; Bauch, G.; Lewandowsky, J.; Saha, S.: Decoding of non-binary LDPC codes using the information bottleneck method. IEEE International Conference on Communications (ICC), Shanghai, China, May 20-24, 2019.

[12] Stark, M.; Lewandowsky, J., Bauch, G.: A parametric information bottleneck algorithm for Gaussian random variables and Gaussian mixtures. International Conference on Systems, Communications and Coding (SCC), Rostock, Germany, February 11-14, 2019.

[11] Shah, A.; Stark, M., Bauch, G.: Design of quantized decoders for polar codes using the information bottleneck method. International Conference on Systems, Communications and Coding (SCC), Rostock, Germany, February 11-14, 2019.

[10]  M. Stark, J. Lewandowsky, and G. Bauch, “Information-Optimum LDPC Decoders with Message Alignment for Irregular Codes”, 2018 IEEE Global Communications Conference (Globecom), 2018.

[9] J. Lewandowsky, M. Stark and G. Bauch, "A Discrete Information Bottleneck Receiver with Iterative Decision Feedback Channel Estimation", 2018 10th International Symposium on Turbo Codes & Iterative Information Processing (ISTC), 2018.

[8]  M. Stark, J. Lewandowsky, and G. Bauch, “Information-Bottleneck Decoding of High-Rate Irregular LDPC Codes for Optical Communication Using Message Alignment”, Applied Science. 2018; 8(10):1884

[7]  M. Stark, J. Lewandowsky, and G. Bauch, “Iterative Message Alignment for Quantized Message Passing between Distributed Sensor Nodes,” 2018 IEEE 87th Vehicular Technology Conference, Porto, 2018.

[6] G. Bauch, J. Lewandowsky, M. Stark, and P. Oppermann, “Information-Optimum Discrete Signal Processing for Detection and Decoding,” 2018 IEEE 87th Vehicular Technology Conference, Porto, 2018.

[5]  M. Stark, S. A. A. Shah, and G. Bauch, “Polar Code Construction using the Information Bottleneck Method,” 2018 IEEE Wireless Communications and Networking Conference Workshops: Polar Coding for Future Networks: Theory and Practice, Barcelona, 2018.

[4]  J. Lewandowsky, M. Stark and G. Bauch, "Message alignment for discrete LDPC decoders with quadrature amplitude modulation," 2017 IEEE International Symposium on Information Theory (ISIT), Aachen, 2017, pp. 2925-2929.doi: 10.1109/ISIT.2017.8007065

[3]  J. Lewandowsky, M. Stark, R. Mendrzik and G. Bauch, "Discrete Channel Estimation by Integer Passing in Information Bottleneck Graphs," SCC 2017; 11th International ITG Conference on Systems, Communications and Coding, Hamburg, Germany, 2017, pp. 1-6.

[2] J. Lewandowsky, M. Stark and G. Bauch, "Information Bottleneck Graphs for receiver design," 2016 IEEE International Symposium on Information Theory (ISIT), Barcelona, 2016, pp. 2888-2892. doi: 10.1109/ISIT.2016.7541827

[1] J. Lewandowsky, M. Stark and G. Bauch, "Optimum message mapping LDPC decoders derived from the sum-product algorithm," 2016 IEEE International Conference on Communications (ICC), Kuala Lumpur, 2016, pp. 1-6. doi: 10.1109/ICC.2016.7510906