Department of Information Technology

Signal Processing

Currently the following people in our group perform research in this area:

Senior Researcher:

Reserchers:

PhD Students:

Some PhD theses from the group.

Our projects in this area have been supported by the European Research Council (ERC), the Swedish Foundation for Strategic Research (SSF), the Swedish Research Council (VR), Celsius/Saab, and the Swedish Foundation for International Cooperation in Research and Higher Education (STINT).

A Topical Textbook:

Spectral Analysis of Signals by Peter Stoica and Randolph Moses.

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Current research topics:

Some further Signal Processing projects are described on the page of the System Identification group.

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Past research topics:

A selection of our many projects from the past:

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International collaborations:

  • Massachusetts Institute of Technology, Electrical Engineering and Computer Science, Lincoln Laboratory
  • K.U. Leuven, Belgium: ESAT-SISTA
  • University of California, Los Angeles, USA
  • University of Newcastle, Callaghan, Australia: School of Electrical Engineering and Computer Science
  • University of Florida, USA: Spectral Analysis Lab
  • Bell Laboratories, Alcatel-Lucent, NJ, USA: Mathematical Sciences Research Center
  • Royal Institute of Technology, Sweden: School of Electrical Engineering
  • GE Healthcare Technologies, Milwaukee WI, USA
  • Karlstad University, Sweden: Dept. of Electrical Engineering
  • King's College London, London, UK
  • Aalborg University, Denmark: Dept. of Communication Technology
  • Waverider, Toronto, Canada
  • Stanford University, California, USA: Dept of Mathematics
  • Ohio State University: Dept of Electrical and Computer Engineering
  • Cornell University, Ithaca, NY, USA: School of Electrical and Computer Engineering
  • California Institute of Technology, Pasadena, CA, USA

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Some achievements:

  • Best student paper award at EUSIPCO 2011 was given to the paper:
    Signal Processing Algorithms for Removing Banding Artifacts in MRI. Marcus Björk, Erik Gudmundson, Joëlle Barral, and Peter Stoica. In Proceedings of the 19th European Signal Processing Conference (EUSIPCO-2011), European Signals Processing Conference, pp 1000-1004, 2011. (fulltext:print).
  • Several students completed their PhD theses in this research area: Erik Gudmundson, Yngve Selén, Niclas Sandgren, Richard Abrahamsson, Mats Cedervall, Girish Ganesan, Andreas Jakobsson, Erik G. Larsson, Magnus Mossberg, Joakim Sorelius, Tomas Sundin, and Per Ã?hgren.
  • The following selected textbooks on this topic have been published
    • T. Söderström and P. Stoica: System Identification, Prentice Hall International, London, UK, 1989 -- paperback edition, 1994 -- Polish edition 1998;
    • P. Stoica and R. Moses: Spectral Analysis of Signals, Prentice Hall, Upper Saddle River, NJ, 2005.
    • J. Li and P. Stoica (Eds): MIMO Radar Signal Processing, J Wiley&Sons, USA, 2009.
    • J Li and P Stoica (Eds): Robust Adaptive Beamforming, J Wiley&Sons, USA, 2006.
    • G. Giannakis, Y. Hua, P. Stoica and L. Tong (eds): Signal Processing Advances in Wireless and Mobile Communications. Vol I: Trends in Channel Estimation and Equalization; Vol II: Trends in Single- and Multi-User Systems. Prentice-Hall, NJ, 2001.
    • E. G. Larsson and P. Stoica: Space-Time Block Coding for Wireless Communications. Cambridge University Press, Cambridge, UK, May 2003 -- Chinese Edition 2006.
    • Y. Wang, J. Li and P. Stoica: Spectral Analysis of Signals: This Missing Data Case. Morgan & Claypool Publishers, USA, 2005.
    • J. Li, P. Stoica and Z. Wang: Robust Capon Beamforming. In Robust Adaptive Beamforming (J. Li and P. Stoica, Eds). J Wiley & Sons, USA, 2006.
    • A. Scaglione and P. Stoica: Linear Precoding for MIMO Channels. In Space-Time Wireless Systems: From Array Processing to MIMO Communications. Cambridge University Press, Cambridge, UK, 2006.
  • Some 15 papers have been published every year in leading international journals.
  • One researcher of the group has been elected IEEE Fellow for contributions to the area, awarded some best paper prizes, and has been serving in several editorial positions for leading journals.
  • One researcher of the group was given the 1996 Technical Achievement Award of the IEEE Signal Processing Society, the 2000 IEEE Millenium Medal, the 2002 Eurasip Individual Technical Achievement Award, the 2005 IEE Achievement Medal and the 2006 Society Award of the IEEE Signal Processing Society.
  • A Senior Individual Grant was awarded for the period 1998-2003 by the Swedish Foundation for Strategic Research (SSF) for supporting our research in the Signals and Systems Modelling area. Also an advanced grant was awarded for the period 2008-2012 from the European Research Council, for joint reseach with KTH.

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Selected publications:

Loading factor estimation under affine constraints on the covariance eigenvalues with application to radar target detection. Antonio De Maio, Luca Pallotta, Jian Li, and Peter Stoica. In IEEE Transactions on Aerospace and Electronic Systems, volume 55, number 3, pp 1269-1283, 2019. (DOI).
Radar detection architecture based on interference covariance structure classification. Vincenzo Carotenuto, Antonio De Maio, Danilo Orlando, and Peter Stoica. In IEEE Transactions on Aerospace and Electronic Systems, volume 55, number 2, pp 607-618, 2019. (DOI).
Source resolvability of spatial-smoothing-based subspace methods: A Hadamard product perspective. Zai Yang, Peter Stoica, and Jinhui Tang. In IEEE Transactions on Signal Processing, volume 67, number 10, pp 2543-2553, 2019. (DOI).
Sinusoidal parameter estimation from signed measurements via majorization–minimization based RELAX. Jiaying Ren, Tianyi Zhang, Jian Li, and Peter Stoica. In IEEE Transactions on Signal Processing, volume 67, number 8, pp 2173-2186, 2019. (DOI).
Sinusoidal parameter estimation from signed measurements obtained via time-varying thresholds. Jiaying Ren, Tianyi Zhang, Jian Li, and Peter Stoica. In Proc. 52nd Asilomar Conference on Signals, Systems, and Computers, pp 1111-1115, IEEE, Piscataway, NJ, 2018. (DOI).
NOVIFAST: A Fast Algorithm for Accurate and Precise VFA MRI<em>T</em><sub>1</sub>Mapping. Gabriel Ramos-Llordén, Gonzalo Vegas-Sánchez-Ferrero, Marcus Björk, Floris Vanhevel, Paul M. Parizel, Raúl San José Estépar, Arnold J. den Dekker, and Jan Sijbers. In IEEE Transactions on Medical Imaging, volume 37, number 11, pp 2414-2427, IEEE, 2018. (DOI).
Model order determination for signed measurements via the Bayesian information criterion. Changheng Li, Rong Zhang, Jian Li, and Peter Stoica. In 2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM), Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop, pp 366-370, IEEE, Piscataway, NJ, 2018. (DOI).
Model-robust counterfactual prediction method. Dave Zachariah and Peter Stoica. In ICML Workshop on Machine Learning for Causal Inference, Counterfactual Prediction, and Autonomous Action, 2018.
Bayesian information criterion for signed measurements with application to sinusoidal signals. Changheng Li, Rong Zhang, Jian Li, and Peter Stoica. In IEEE Signal Processing Letters, volume 25, number 8, pp 1251-1255, 2018. (DOI).
Recursive nonlinear-system identification using latent variables. Per Mattsson, Dave Zachariah, and Peter Stoica. In Automatica, volume 93, pp 343-351, 2018. (DOI).
Identification of cascade water tanks using a PWARX model. Per Mattsson, Dave Zachariah, and Peter Stoica. In Mechanical systems and signal processing, volume 106, pp 40-48, 2018. (DOI).
Phase retrieval via the alternating direction method of multipliers. Junli Liang, Peter Stoica, Yang Jing, and Jian Li. In IEEE Signal Processing Letters, volume 25, number 1, pp 5-9, 2018. (DOI).
Scalable and Passive Wireless Network Clock Synchronization in LOS Environments. Dave Zachariah, Satyam Dwivedi, Peter Handel, and Peter Stoica. In IEEE Transactions on Wireless Communications, volume 16, number 6, pp 3536-3546, 2017. (DOI).

Updated  2016-11-14 11:44:22 by Marcus Björk.