Homepage of Steven Van Vaerenbergh

Welcome

I am currently a postdoctoral researcher at the GTAS group (Advanced Signal Processing Group / Grupo de Tratamiento Avanzado de Señal), Dept. of Communications Engineering, University of Cantabria, Spain. My research interests include online learning, kernel methods, Gaussian processes, canonical correlation analysis, and their application to communications problems (adaptive filtering, tracking, source separation, system identification and equalization).

Code packages and toolboxes

Selected publications

Journal publications:

  1. Steven Van Vaerenbergh, Miguel Lázaro-Gredilla and Ignacio Santamaría, "Kernel Recursive Least-Squares Tracker for Time-Varying Regression," IEEE Transactions on Neural Networks and Learning Systems, Vol. 23, No. 8, pp. 1313-1326, Aug 2012.
    pdfpdf version, bibtexbibTeX entry, matlab codeMatlab source code
  2. Miguel Lázaro-Gredilla, Steven Van Vaerenbergh and Neil D. Lawrence, "Overlapping Mixtures of Gaussian Processes for the data association problem," Pattern Recognition, Volume 45, Issue 4, April 2012, Pages 1386-1395, ISSN 0031-3203, 10.1016/j.patcog.2011.10.004.
    pdfpdf version, bibtexbibTeX entry, matlab codeMatlab source code
  3. Steven Van Vaerenbergh, Javier Vía, and Ignacio Santamaría, "Adaptive Kernel Canonical Correlation Analysis Algorithms for Nonparametric Identification of Wiener and Hammerstein Systems," EURASIP Journal on Advances in Signal Processing, vol. 2008, Article ID 875351, 13 pages, 2008. doi:10.1155/2008/875351.
    webAvailable online at Hindawi, bibtexbibTeX entry
  4. S. Van Vaerenbergh, J. Via and I. Santamaria, "Nonlinear System Identification using a New Sliding-Window Kernel RLS Algorithm", Journal of Communications, Vol. 2, No. 3, pp. 1-8, May 2007.
    webAvailable online at JCM, bibtexbibTeX entry
  5. S. Van Vaerenbergh and I. Santamaria, "A Spectral Clustering Approach to Underdetermined Post-Nonlinear Blind Source Separation of Sparse Sources", IEEE Transactions on Neural Networks, Vol. 17, No. 3, pp. 811-814, May 2006.
    pdfpdf version, htmlhtml version bibtexbibTeX entry

Conference publications:

  1. M. Lázaro-Gredilla, S. Van Vaerenbergh and I. Santamaría, "A Bayesian Approach to Tracking with Kernel Recursive Least-Squares", IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2011), Beijing, China, September, 2011.
    pdfpdf version, htmlhtml version, bibtexbibTeX entry, matlab codeMatlab source code
  2. S. Van Vaerenbergh, I. Santamaría, and P.E. Barbano, "Semi-Supervised Handwritten Digit Recognition Using Very Few Labeled Data", IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP, Prague, Czech Republic, May, 2011.
    pdfpdf version, bibtexbibTeX entry, matlab codeMatlab source code
  3. S. Van Vaerenbergh, I. Santamaria, W. Liu and J.C. Principe, "Fixed-Budget Kernel Recursive Least-Squares", IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP, Dallas, Texas, March, 2010.
    pdfpdf version, htmlhtml version, bibtexbibTeX entry
  4. S. Van Vaerenbergh, I. Santamaría, P.E. Barbano, U. Ozertem and D. Erdogmus, "Path-Based Spectral Clustering for Decoding Fast Time-Varying MIMO Channels", 2009 International Workshop on Machine Learning for Signal Processing (MLSP), Grenoble, France, September, 2009.
    pdfpdf version bibtexbibTeX entry
  5. S. Van Vaerenbergh, J. Vía and I. Santamaría, "A Kernel Canonical Correlation Analysis Algorithm for Blind Equalization of Oversampled Wiener Systems", IEEE International Workshop on Machine Learning for Signal Processing (MLSP 08), Cancún, Mexico, October, 2008.
    pdfpdf version, bibtexbibTeX entry
  6. S. Van Vaerenbergh, E. Estébanez and I. Santamaria, "A Spectral Clustering Algorithm for Decoding Fast Time-Varying BPSK MIMO Channels", 15th European Signal Processing Conference (EUSIPCO 2007), Poznan, Poland, September, 2007. Winner of the Best Student Paper Awardaward
    pdfpdf version, htmlhtml version, bibtexbibTeX entry
  7. S. Van Vaerenbergh, J. Via and I. Santamaria, "Online Kernel Canonical Correlation Analysis for Supervised Equalization of Wiener Systems", International Joint Conference on Neural Networks (IJCNN 2006), Vancouver, Canada, July 16 - 21, 2006.
    pdfpdf version, htmlhtml version, bibtexbibTeX entry
  8. S. Van Vaerenbergh, J. Via and I. Santamaria, "A Sliding Window Kernel RLS Algorithm and its Application to Nonlinear Channel Identification", IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP, Toulouse, France, May 15 - 19, 2006.
    pdfpdf version, htmlhtml version, bibtexbibTeX entry

Ph.D. Dissertation:

Steven Van Vaerenbergh, "Kernel Methods for Nonlinear Identification, Equalization and Separation of Signals," University of Cantabria, 2010.
pdfpdf version, bibtexbibTeX entry

Book Chapters:

Steven Van Vaerenbergh and Ignacio Santamaría, "A Spectral Clustering Approach for Blind Decoding of MIMO Transmissions over Time-Correlated Fading Channels," Intelligent Systems: Techniques and Applications, Evor Hines et. al (Eds.), Shaker Publishing, Maastricht, The Netherlands, 2008.
bibtexbibTeX entry

Contact me

Steven Van Vaerenbergh
Grupo de Tratamiento Avanzado de Señal
Departamiento de Ingenieria de Comunicaciones
Laboratorios de I+D+i de Telecomunicaciones
University of Cantabria
Plaza de la Ciencia s/n - 39005 Santander - Spain

tel: 0034 942 200919 ext 802
email: steven #at# gtas.dicom.unican.es
my page at my research group: www.gtas.dicom.unican.es/members/steven
more things I do can be found at www.squobble.com