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Computer Science

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46
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Overview

Mats Viberg is affiliated with Blekinge Institute of Technology in Sweden. Their research primarily spans the fields of Engineering and Computer Science, with a focus on subfields such as Signal Processing, Aerospace Engineering, Computational Mechanics, Electrical and Electronic Engineering, and Civil and Structural Engineering.

Their main topics of work include:

  • Direction-of-Arrival Estimation Techniques
  • Speech and Audio Processing
  • Sparse and Compressive Sensing Techniques
  • Antenna Design and Optimization
  • Radar Systems and Signal Processing
  • Advanced MIMO Systems Optimization
  • Full-Duplex Wireless Communications

Mats Viberg has collaborated frequently with a range of co-authors, including:

  • Marius Pesavento
  • Minh Trinh-Hoang
  • Thomas Eriksson
  • Nikolaos Kolomvakis
  • Mikael Coldrey

Their publications appear in well-known venues such as:

  • arXiv (Cornell University)
  • IEEE Signal Processing Magazine
  • IEEE Transactions on Signal Processing
  • IEEE Transactions on Communications

Notable recent papers authored or co-authored by Mats Viberg include:

  • "Three More Decades in Array Signal Processing Research: An Optimization and Structure Exploitation Perspective," published in 2023 in IEEE Signal Processing Magazine
  • "Cramér-Rao Bound for DOA Estimators Under the Partial Relaxation Framework: Derivation and Comparison," published in 2020 in IEEE Transactions on Signal Processing
  • "Reconstruction of Clipped Signals in Quantized Uplink Massive MIMO Systems," published in 2020 in IEEE Transactions on Communications
  • "Three more Decades in Array Signal Processing Research: An Optimization and Structure Exploitation Perspective," published in 2022 on arXiv (Cornell University)
  • "Statistical Analysis of Target Parameter Estimation Using Passive Radar," published in 2025 on arXiv (Cornell University)

Best Publications

  • Two decades of array signal processing research: the parametric approach

    H. Krim;M. Viberg

  • Sensor array processing based on subspace fitting

    M. Viberg;B. Ottersten

  • Subspace-based methods for the identification of linear time-invariant systems

    Mats Viberg

  • Detection and estimation in sensor arrays using weighted subspace fitting

    M. Viberg;B. Ottersten;T. Kailath

  • Blind separation of synchronous co-channel digital signals using an antenna array. I. Algorithms

    S. Talwar;M. Viberg;A. Paulraj

  • An adaptive array for mobile communication systems

    S. Anderson;M. Millnert;M. Viberg;B. Wahlberg

  • Performance analysis of the total least squares ESPRIT algorithm

    B. Ottersten;M. Viberg;T. Kailath

  • Exact and Large Sample ML Techniques for Parameter Estimation and Detection in Array Processing

    Björn Ottersten;Mats Viberg;Petre Stoica;Arye Nehorai

  • Analysis of subspace fitting and ML techniques for parameter estimation from sensor array data

    B. Ottersten;M. Viberg;T. Kailath

  • Blind estimation of multiple co-channel digital signals arriving at an antenna array

    S. Talwar;M. Viberg;A. Paulraj

  • A Bayesian approach to auto-calibration for parametric array signal processing

    M. Viberg;A.L. Swindlehurst

  • Blind estimation of multiple co-channel digital signals using an antenna array

    S. Talwar;M. Viberg;A. Paulraj

  • Computationally efficient angle estimation for signals with known waveforms

    Jian Li;B. Halder;P. Stoica;M. Viberg

  • A first-order statistical method for channel estimation

    G.T. Zhou;M. Viberg;T. McKelvey

  • Analysis of state space system identification methods based on instrumental variables and subspace fitting

    Mats Viberg;Bo Wahlberg;Björn Ottersten

  • Self-interference suppression in full-duplex MIMO relays

    Panagiota Lioliou;Mats Viberg;Mikael Coldrey;Fredrik Athley

  • Maximum likelihood array processing in spatially correlated noise fields using parameterized signals

    M. Viberg;P. Stoica;B. Ottersten

  • Maximum likelihood parameter and rank estimation in reduced-rank multivariate linear regressions

    P. Stoica;M. Viberg

  • Maximum likelihood array processing for stochastic coherent sources

    P. Stoica;B. Ottersten;M. Viberg;R.L. Moses

  • Analysis of the combined effects of finite samples and model errors on array processing performance

    M. Viberg;A.L. Swindlehurst

  • Two Decades of Array Signal Processing

    Mats Viberg;H. Krim

Frequent Co-Authors

Bjorn Ottersten
Bjorn Ottersten University of Luxembourg
Petre Stoica
Petre Stoica Uppsala University
Thomas Kailath
Thomas Kailath Stanford University
Bo Wahlberg
Bo Wahlberg Royal Institute of Technology
Thomas Eriksson
Thomas Eriksson Chalmers University of Technology
Michail Matthaiou
Michail Matthaiou Queen's University Belfast
Abdelhak M. Zoubir
Abdelhak M. Zoubir Technical University of Darmstadt
Arye Nehorai
Arye Nehorai Washington University in St. Louis
Arogyaswami Paulraj
Arogyaswami Paulraj Stanford University

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