Research Profile
We believe that interdisciplinary and cross-layer research, ranging from information-theoretic principles to VLSI implementation, is the most promising way to make future communications systems even faster, more reliable, and more energy efficient. For this reason, our work lies on the intersection between communications, hardware design, and machine learning. The specific research activities of our lab include algorithm and architecture co-design of VLSI circuits for communications, error-correction coding theory and practice, non-linear signal processing, massive MIMO, as well applications of approximate computing and machine learning to signal processing for communications.
Meet some of our Researchers
Recent Publications
Our most recent peer reviewed publications
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A Maximum-Likelihood-based Two-User Receiver for LoRa Chirp Spread-Spectrum Modulation
IEEE Internet of Things Journal (2022) -
Multi-Factor Pruning for Recursive Projection-Aggregation Decoding of RM Codes
36th IEEE Workshop on Signal Processing Systems, SiPS 2022 (2022) -
Fast Sequence Repetition Node-Based Successive Cancellation List Decoding for Polar Codes
2022 IEEE International Conference on Communications (ICC 2022) (2022) -
Device-free Movement Tracking using the UWB Channel Impulse Response with Machine Learning
23rd IEEE International Workshop on Signal Processing Advances in Wireless Communication, SPAWC 2022 (2022) -
A Two-User Successive Interference Cancellation LoRa Receiver with Soft-Decoding
55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021 (2022)
Contact
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Visiting address
Groene Loper 19Flux, room 4.1305612 AP EindhovenNetherlands -
Postal address
P.O. Box 513Department of Electrical Engineering5600 MB EindhovenNetherlands -
Teamleada.k.balatsoukas.stimming@ tue.nl