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YNumber of items: 10.
K
Keck, I. R.,
Lang, Elmar,
Nassabay, S. and
Puntonet, C. G.
(2005)
Clustering of signals using incomplete independent component analysis.
In:
Cabestany, Joan, (ed.)
Computational intelligence and bioinspired systems: 8th International Work-Conference on Artificial Neural Networks, IWANN 2005, Barcelona, Spain, June 8 - 10, 2005; proceedings.
Lecture notes in computer science, 3512.
Springer, Berlin.
ISBN 3-540-26208-3.
Fulltext not available.
R
S
T
Texeira, A. R.,
Tomé, A. M.,
Lang, Elmar,
Gruber, P. and
Martins da Silva, A.
(2005)
On the use of clustering and local singular spectrum analysis to remove ocular artefacts from electroencephalograms.
In:
Proceedings of the International Joint Conference on Neural Networks (IJCNN) 2005 : July 31 - August 4, 2005,Montréal, Québec, Canada.
IEEE Operations Center, Piscataway, NJ, pp. 2514-2519.
ISBN 0-7803-9048-2, 0-7803-9049-0.
Fulltext not available.
Teixeira, A. R.,
Tomé, A. M.,
Lang, Elmar,
Gruber, Peter and
Martins da Silva, A.
(2005)
Removal of ocular artefacts from electroencephalograms using singular spectrum analysis.
In:
Fonseca, José, (ed.)
Proc. 2nd Int. Conf. Comput. Intelligence Medicine Healthcare (CIMED), 29th June - 1st July 2005, Lisbon, Portugal. CD-rom.
IEE Healthcare Technologies, Lisbon, pp. 24-29.
ISBN 0863415202, 9780863415203.
Fulltext not available.
Tomé, A.,
Teixeira, A.,
Lang, Elmar,
Stadlthanner, K.,
Rocha, A. and
Almeida, R.
(2005)
dAMUSE - A new tool for denoising and BSS.
Digital Signal Processing 15, pp. 400-421.
Fulltext not available.
Teixeira, A.,
Tomé, A. M.,
Lang, Elmar and
Stadlthanner, K.
(2004)
Delayed AMUSE - A tool for blind source separation and denoising.
In:
Puntonet, Carlos G., (ed.)
Independent component analysis and blind signal separation: fifth international conference, ICA 2004, Granada, Spain, September 22 - 24, 2004; proceedings.
Lecture notes in computer science, 3195.
Springer, pp. 287-294.
ISBN 3-540-23056-4, 978-3-540-23056-4.
Fulltext not available.
Y
This list was generated on Fri Dec 8 04:36:49 2023 CET.