Welcome

I am a Ph.D. student and research member of 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 machine learning, kernel methods, canonical correlation analysis, and their application to communications problems (blind source separation, system identification and equalization).

Selected publications

Conference publications:

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.

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 '07), Poznan, Poland, September, 2007. Winner of the Best Student Paper Award
pdf version, html version, bibTeX entry

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 '06), Vancouver, Canada, July 16 - 21, 2006.
pdf version, html version, bibTeX entry

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.
pdf version, html version, bibTeX entry

Journal publications:

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.
Available online at Hindawi, bibTeX entry

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.
Available online at JCM, bibTeX entry

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.
pdf version, html version bibTeX 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.
bibTeX entry

Contact me

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

tel: 0034 942 201393 ext 13
email: steven #at# gtas.dicom.unican.es
personally hosted homepage: www.squobble.com/academic
homepage at research group: www.gtas.dicom.unican.es/miembros/steven