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Christian Uhl
Christian Uhl
Professor, University of Applied Sciences Ansbach, Germany
Verified email at hs-ansbach.de
Title
Cited by
Cited by
Year
Spatio-temporal analysis of human electroencephalograms: Petit-mal epilepsy
R Friedrich, C Uhl
Physica D: Nonlinear Phenomena 98 (1), 171-182, 1996
691996
Analysis of neurophysiological brain functioning
C Uhl
Springer Science & Business Media, 2012
612012
Analysis of spatiotemporal signals of complex systems
C Uhl, R Friedrich, H Haken
Physical Review E 51 (5), 3890, 1995
561995
Synergetic analysis of human electroencephalograms: Petit-mal epilepsy
R Friedrich, C Uhl
Evolution of Dynamical Structures in Complex Systems: Proceedings of the …, 1992
501992
Reconstruction of spatio-temporal signals of complex systems
C Uhl, R Friedrich, H Haken
Zeitschrift für Physik B Condensed Matter 92, 211-219, 1993
351993
A new concept for EEG/MEG signal analysis: detection of interacting spatial modes
C Uhl, F Kruggel, B Opitz, D Yves von Cramon
Human brain mapping 6 (3), 137-149, 1998
271998
Experiments with an extended adaptive SVD enhancement scheme for speech recognition in noise
C Uhl, M Lieb
2001 IEEE International Conference on Acoustics, Speech, and Signal …, 2001
212001
Dynamical Component Analysis (DyCA): dimensionality reduction for high-dimensional deterministic time-series
B Seifert, K Korn, S Hartmann, C Uhl
2018 IEEE 28th international workshop on machine learning for signal …, 2018
152018
Analysis of spatiotemporal signals: A method based on perturbation theory
A Hutt, C Uhl, R Friedrich
Physical Review E 60 (2), 1350, 1999
151999
Subspace Detection and Blind Source Separation of Multivariate Signals by Dynamical Component Analysis (DyCA)
C Uhl, M Kern, M Warmuth, B Seifert
IEEE Open Journal of Signal Processing 1, 230-241, 2020
112020
Virtual & Rapid Prototyping
J Hoyer, C Uhl, C Beyer
VDI Verlag, 2006
92006
Analyzing spatio-temporal patterns of complex systems
R Friedrich, VK Jirsa, H Haken, C Uhl
Nonlinear analysis of physiological data, 101-114, 1998
91998
Dynamical Component Analysis (DyCA) and its application on epileptic EEG
K Korn, B Seifert, C Uhl
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
82019
Analytic quantification of Shilnikov chaos in epileptic EEG data
B Seifert, D Adamski, C Uhl
Frontiers in Applied Mathematics and Statistics 4, 57, 2018
82018
Spatio-Temporal Modeling
C Uhl, R Friedrich
Analysis of Neurophysiological Brain Functioning, 274, 2012
7*2012
Spatio-temporal modeling based on dynamical systems theory
C Uhl, R Friedrich
Analysis of Neurophysiological Brain Functioning, 274-305, 1999
71999
Improvement of source localization by dynamical systems based modeling (DSBM)
C Uhl, A Hutt, F Kruggel
Brain Topography 13, 219-226, 2001
62001
Analyse raumzeitlicher Daten strukturbildender Systeme
C Uhl
Shaker, 1995
51995
Robust Dynamical Component Analysis via Multivariate Variational Denoising
M Warmuth, P Romberger, C Uhl
2021 29th European Signal Processing Conference (EUSIPCO), 2000-2004, 2021
42021
Fast cosine transform for FCC lattices
B Seifert, K Hüper, C Uhl
2018 13th APCA International Conference on Automatic Control and Soft …, 2018
32018
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