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Christian Jutten
Christian Jutten
Emeritus Prof. of Statistical Signal Processing, Univ. Grenoble Alpes, Institut Universitaire de
Verified email at gipsa-lab.fr
Title
Cited by
Cited by
Year
Blind separation of sources, part I: An adaptive algorithm based on neuromimetic architecture
C Jutten, J Herault
Signal processing 24 (1), 1-10, 1991
38761991
Handbook of Blind Source Separation: Independent component analysis and applications
P Comon, C Jutten
Academic press, 2010
23752010
A Fast Approach for Overcomplete Sparse Decomposition Based on SmoothedNorm
H Mohimani, M Babaie-Zadeh, C Jutten
IEEE Transactions on Signal Processing 57 (1), 289-301, 2008
13572008
Multimodal data fusion: an overview of methods, challenges, and prospects
D Lahat, T Adali, C Jutten
Proceedings of the IEEE 103 (9), 1449-1477, 2015
9032015
OP-ELM: optimally pruned extreme learning machine
Y Miche, A Sorjamaa, P Bas, O Simula, C Jutten, A Lendasse
IEEE transactions on neural networks 21 (1), 158-162, 2009
8792009
Multiclass brain–computer interface classification by Riemannian geometry
A Barachant, S Bonnet, M Congedo, C Jutten
IEEE Transactions on Biomedical Engineering 59 (4), 920-928, 2011
7272011
Space or time adaptive signal processing by neural network models
J Herault, C Jutten
AIP conference proceedings 151 (1), 206-211, 1986
6721986
A nonlinear Bayesian filtering framework for ECG denoising
R Sameni, MB Shamsollahi, C Jutten, GD Clifford
IEEE transactions on Biomedical Engineering 54 (12), 2172-2185, 2007
6162007
Source separation in post-nonlinear mixtures
A Taleb, C Jutten
IEEE Transactions on signal Processing 47 (10), 2807-2820, 1999
5601999
Blind separation of sources, Part II: Problems statement
P Comon, C Jutten, J Herault
Signal processing 24 (1), 11-20, 1991
5051991
Blind source separation for convolutive mixtures
HLN Thi, C Jutten
Signal processing 45 (2), 209-229, 1995
4471995
Neural networks in geophysical applications
M Van der Baan, C Jutten
Geophysics 65 (4), 1032-1047, 2000
4242000
Classification of covariance matrices using a Riemannian-based kernel for BCI applications
A Barachant, S Bonnet, M Congedo, C Jutten
Neurocomputing 112, 172-178, 2013
4202013
Hyperspectral image classification with independent component discriminant analysis
A Villa, JA Benediktsson, J Chanussot, C Jutten
IEEE transactions on Geoscience and remote sensing 49 (12), 4865-4876, 2011
3832011
Advances in blind source separation (BSS) and independent component analysis (ICA) for nonlinear mixtures
C Jutten, J Karhunen
International journal of neural systems 14 (05), 267-292, 2004
3722004
Détection de grandeurs primitives dans un message composite par une architecture de calcul neuromimétique en apprentissage non supervisé
J Hérault
Proceedings of GRETSI, 1017-1020, 1985
3491985
Multichannel electrocardiogram decomposition using periodic component analysis
R Sameni, C Jutten, MB Shamsollahi
IEEE transactions on biomedical engineering 55 (8), 1935-1940, 2008
2742008
Independent component analysis versus PCA
C Jutten
Proceeding of European Signal Processing Conferemce, 1988, 1988
2611988
Transfer learning: A Riemannian geometry framework with applications to brain–computer interfaces
P Zanini, M Congedo, C Jutten, S Said, Y Berthoumieu
IEEE Transactions on Biomedical Engineering 65 (5), 1107-1116, 2017
2522017
Riemannian geometry applied to BCI classification
A Barachant, S Bonnet, M Congedo, C Jutten
International conference on latent variable analysis and signal separation …, 2010
2242010
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