Support Vector Array Processing

IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)

Volumn , Issue , 2006, Pages 3311-3314

  Martinez Ramon, Manel ^a   Christodoulou, Christos ^b  

^a UNIVERSIDAD CARLOS III DE MADRID   (Spain)

^b University of New Mexico   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84896654663     PISSN: 15223965     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/APS.2006.1711321     Document Type: Conference Paper

References (7)

1. S. Haykin, Adaptive Filter Theory, 4th Ed., Prentice-Hall, Englewood-Cliffs, N. J., 2001.
2. V. Vapnik, Statistical Learning Theory, Adaptive and Learning Systems for Signal Processing, Communications, and Control, John Wiley & Sons, 1998.
3. C. C. Gaudes, J. Via, I. Santamaría, “Robust array beamforming with sidelobe control using support vector machines”, in: IEEE 5th Ws on Sig. Proc. Adv. in Wireless Comms, 2004, pp. 258-262.
4. M. Martínez-Ramón, N. Xu, C. Christodoulou, “Beamforming using support vector machines”, IEEE Antennas and Wireless Propagation Letters In Press.
5. M. Martínez-Ramón, C. G. Christodoulou, Support Vector Machines for Antenna Array Processing and Electromagnetics, Synthesis Lectures on Computational Electromagnetics, Morgan & Claypool Publishers, CA, USA, 2006, To appear.
6. J. L. Rojo-Álvarez, G. Camps-Valls, M. Martínez-Ramón, A. Navia-Vázquez, A. R. Figueiras-Vidal, “Support Vector Machines Framework for Linear Signal Processing”, Signal Processing 85 (12) (2005) 2316-2326.
7. B. Schölkopf, A. Smola, K.-R. Müller, “Nonlinear Component Analysis as a Kernel Eigenvalue Problem”, Technical Report 44, Max Planck Institut für biologische Kybernetik, Tübingen, Germany (dec 1996).