Improving independent component analysis performances by variable selection

Neural Networks for Signal Processing - Proceedings of the IEEE Workshop

Volumn 2003-January, Issue , 2003, Pages 359-368

  Vrins, F ^a   Lee, J A ^a   Verleysen, M ^a   Vigneron, V ^b   Jutten, C ^b  

^a Department of Microelectronics Machine Learning Group UCL DICE ^*  (Belgium)

^b GIPSA LAB   (France)

Author keywords

[No Author keywords available]

Indexed keywords

INDEPENDENT COMPONENT ANALYSIS; MIXTURES; PRINCIPAL COMPONENT ANALYSIS; SIGNAL PROCESSING;

DIMENSION REDUCTION; FETAL ELECTROCARDIOGRAMS; INFORMATION CONTENTS; PREGNANT WOMAN; VARIABLE SELECTION;

BLIND SOURCE SEPARATION;

EID: 61849120537     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NNSP.2003.1318035     Document Type: Conference Paper

References (16)

1. A. K. Barros and N. Ohnishi, "Fetal heart rate variability extraction by frequency tracking,'' in Proceedings of ICA'O1, 2001.
2. J. Cardoso and A. Souloumiac, "Blind beamforming for non-gaussian signals," IEEE proceedings F, vol. 140, no. 6, pp. 362-370, 1993.
3. P. Comon, "Independent Component Analysis, a new concept?" Signal Processing, vol. 36, no. 3, pp. 287-314, 1994.
4. T. M. Cover and J. A.Thornas, Elements of information theory, John Wiley and sons, 1991.
5. G. Deco and D. Obradovic, An information-theoretic approach to nenral computing, Springer Verlag, 1996.
6. A. Hyvarinen, "Gaussian Moments for Noisy Independent Component Analysis." IEEE Signal Processing Letters, vol. 6, no. 6, pp. 145-147, 1999.
7. A. Hyviirinen, J. Karhunen and 0. Oja, Independent Component Analysis, New York Wiley-Interscience, 2000.
8. I. T. Jollife, Principal Component Analysis, New York Springer-Verlag. 1986.
9. W. Lammers. "Circulating excitations and re-entry in the pregnant uterus," Pflglers Arch-Eur J. Phys, vol. 433, pp. 287-293, 1997.
10. L. D. Lathauwer, B. D. Moor and J. Vandewalle; "Fetal electrocardiogram extraction by blind source subspace separation." IEEE Trans. Biomedical Engineering. vol. 47. no. 5; pp. 567-572, 2000.
11. M. Marcus and H. Minc, Introduction to linear algebra, New York: Dover, 1988.
12. K.-R. Muller, P. Philips and A. Ziehe, "JADETD : Combining higher-order statistics and temporal information for blind source separation (with noise): Proc. Int. Workshop on Independent Component Analysis and Signal Separation (ICA'Y9), pp. 87-92, 1999.
13. J. V. Stone and J. Porrill, "Undercomplete independent component analysis for signal separation and dimension reduction." Techn. report, Psychology Department, Sheffield University, Sheffield, S10 ZUR, England, Oct. 1997.
14. A. Taleb and C. Jutten, "Source separation in post-nonlinear mixtures." IEEE Trans. on Signal Srocessing, vol. 47, no. 10, pp. 2807-2820, 1999.
15. K. Torkkola, "Blind separation of delayed sources based on information maximization," Proc. IEEE Int. Conf. Acoustics, Speech and Signal Processing (ICASSP'YB), pp. 3509-3512, 1996.
16. V. Vigneron, A. Paraschiv-Ionescu, A. Azancor, C. Jntten and 0. Sibony, "Fetal electrocardiogram extraction based on non-stationary ICA and \ravelet denoising." Techn. report, LIS-INPG, Grenoble, France, March 2003.