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Mats Viberg

Professor

Viberg, Mats

Department of Mathematics and Natural Sciences

Room J3540, Karlskrona

mats.viberg@bth.se

0455-385575

Research domain: Systems Engineering

Mats Viberg is since September 1, 2024 a Professor of Signal Processing at Blekinge Institute of Technology (BTH) and at Chalmers University of Technology. From September 1, 2018 until August 31, 2024, he served as Vice-Chancellor of BTH. Before that, he was employed at Chalmers since 1993 as a Professor of Signal Processing. His research area is Statistical Signal Processing, especially multi-sensor data. Viberg is a Fellow of the Institute of Electrical and Electronic Engineers (IEEE) and a member of the Royal Swedish Academy of Sciences (KVA).

  1. Marius Pesavento, Minh Trinh-Hoang, Mats Viberg, "Three More Decades in Array Signal Processing Research", IEEE signal processing magazine (Print), ISSN 1053-5888, EISSN 1558-0792, Vol. 40, No. 4, pp. 92-106, Institute of Electrical and Electronics Engineers (IEEE), 2023
  2. Nikolaos Kolomvakis, Thomas Eriksson, Mikael Coldrey, Mats Viberg, "Quantized Uplink Massive MIMO Systems with Linear Receivers", IEEE International Conference on Communications, Institute of Electrical and Electronics Engineers Inc., 2020
  3. Minh Trinh-Hoang, Mats Viberg, Marius Pesavento, "Cramer-Rao Bound for DOA Estimators Under the Partial Relaxation Framework", IEEE Transactions on Signal Processing, ISSN 1053-587X, EISSN 1941-0476, Vol. 68, pp. 3194-3208, Institute of Electrical and Electronics Engineers Inc., 2020
  4. Nikolaos Kolomvakis, Thomas Eriksson, Mikael Coldrey, Mats Viberg, "Reconstruction of Clipped Signals in Quantized Uplink Massive MIMO Systems", IEEE Transactions on Communications, ISSN 0090-6778, EISSN 1558-0857, Vol. 68, No. 5, pp. 2891-2905, Institute of Electrical and Electronics Engineers Inc., 2020
  5. David Schenck, Minhtrinh Hoang, Xavier Mestre, Mats Viberg, Marius Pesavento, "Full covariance fitting DOA estimation using partial relaxation framework", European Signal Processing Conference, European Signal Processing Conference, EUSIPCO, 2019

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