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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LoRa Preamble Detection Robust to Inter-channel Interference
(2023) -
Band-of-Interest-Based Channel Impulse Response Fusion for Breathing Rate Estimation with UWB
(2023) -
Unrolled and Pipelined Decoders based on Look-Up Tables for Polar Codes
(2023) -
Single-Anchor UWB Localization Using Channel Impulse Response Distributions
(2023) -
End-to-End Learned Self-Interference Cancellation
(2023)
Contact
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Visiting address
Dave DemirelGroene Loper 19Flux, room 4.1305612 AP EindhovenNetherlandsninthe.zhang@ hotmail.nl -
Postal address
Milan SchipperP.O. Box 513Department of Electrical Engineering5600 MB EindhovenNetherlandsindy.vanbeek@ live.nl -
Postal address
Aron van der WalAnnabel de VriesBozkurtboulevard1444TM EexterzandvoortNetherlandsemir.rahajoegenaamdengeschreventenkate@ beourgeois.org -
TeamleadJip van VeenVergeerpad8862AC Oost West en Middelbeersa.k.balatsoukas.stimming@ tue.nl