The Citing articles tool gives a list of articles citing the current article. The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program . You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).
Cited article:
D. Nuzillard , A. Bijaoui
Astron. Astrophys. Suppl. Ser., 147 1 (2000) 129-138
Published online: 2000-11-15
This article has been cited by the following article(s):
48 articles
Decomposing the AIA 304 Å Channel into Its Cool and Hot Components
Patrick Antolin, Frédéric Auchère, Ethan Winch, Elie Soubrié and Ramón Oliver Solar Physics 299 (7) (2024) https://doi.org/10.1007/s11207-024-02337-4
Multi-target reconstruction strategy based on blind source separation of surface measurement signals in FMT
Lizhi Zhang, Hongbo Guo, Jintao Li, et al. Biomedical Optics Express 14 (3) 1159 (2023) https://doi.org/10.1364/BOE.481348
Nonlinear independent component analysis for principled disentanglement in unsupervised deep learning
Aapo Hyvärinen, Ilyes Khemakhem and Hiroshi Morioka Patterns 4 (10) 100844 (2023) https://doi.org/10.1016/j.patter.2023.100844
Single-Channel Blind Source Separation using Adaptive Mode Separation-Based Wavelet Transform and Density-Based Clustering with Sparse Reconstruction
Mina Kemiha and Abdellah Kacha Circuits, Systems, and Signal Processing 42 (9) 5338 (2023) https://doi.org/10.1007/s00034-023-02350-1
Improved approach to wave potential estimation using bivariate distributions
Rafael Guzmán-Cabrera, Iván A. Hernández-Robles, Xiomara González-Ramírez, et al. Journal of Intelligent & Fuzzy Systems 42 (5) 4653 (2022) https://doi.org/10.3233/JIFS-219253
Characterizing Drought Behavior in the Colorado River Basin Using Unsupervised Machine Learning
Carl J. Talsma, Katrina E. Bennett and Velimir V. Vesselinov Earth and Space Science 9 (5) (2022) https://doi.org/10.1029/2021EA002086
abdellah kacha and mina kemiha (2022) https://doi.org/10.21203/rs.3.rs-1937910/v1
Rajendra B. Mohite and Onkar S. Lamba 1 (2021) https://doi.org/10.1109/SMARTGENCON51891.2021.9645821
U-Net-Based Multispectral Image Generation From an RGB Image
Tao Zeng, Changyu Diao and Dongming Lu IEEE Access 9 43387 (2021) https://doi.org/10.1109/ACCESS.2021.3066472
A new convolutive source separation approach for independent/dependent source components
N. Mamouni, A. Keziou, H. Fenniri, A. Ghazdali and A. Hakim Digital Signal Processing 100 102701 (2020) https://doi.org/10.1016/j.dsp.2020.102701
Separation of galaxy spectra measured with slitless spectroscopy
Shahram Hosseini, Ahmed Selloum, Thierry Contini and Yannick Deville Digital Signal Processing 106 102837 (2020) https://doi.org/10.1016/j.dsp.2020.102837
Internet and Distributed Computing Systems
Hoang Long Nguyen, Khac-Hoai Nam Bui, Nayoung Jo, Jason J. Jung and David Camacho Lecture Notes in Computer Science, Internet and Distributed Computing Systems 11226 185 (2018) https://doi.org/10.1007/978-3-030-02738-4_16
Faster Independent Component Analysis by Preconditioning With Hessian Approximations
Pierre Ablin, Jean-Francois Cardoso and Alexandre Gramfort IEEE Transactions on Signal Processing 66 (15) 4040 (2018) https://doi.org/10.1109/TSP.2018.2844203
Unsupervised Signal Processing
Unsupervised Signal Processing 169 (2018) https://doi.org/10.1201/b10370-12
A Critical Survey of Deconvolution Methods for Separating Cell Types in Complex Tissues
Shahin Mohammadi, Neta Zuckerman, Andrea Goldsmith and Ananth Grama Proceedings of the IEEE 105 (2) 340 (2017) https://doi.org/10.1109/JPROC.2016.2607121
Complex Blind Source Separation
Mina Kemiha and Abdellah Kacha Circuits, Systems, and Signal Processing 36 (11) 4670 (2017) https://doi.org/10.1007/s00034-017-0539-0
Study on a Novel Bearing Fault Diagnosis Method from Frequency and Energy Perspective
Xiumei Li, Yong Liu, Huiming Zhao and Wu Deng International Journal of Emerging Electric Power Systems 18 (6) (2017) https://doi.org/10.1515/ijeeps-2017-0110
H. Abouzid and O. Chakkor 1 (2017) https://doi.org/10.1145/3167486.3167526
Extreme direction analysis for blind separation of nonnegative signals
Wady Naanaa and Jean-Marc Nuzillard Signal Processing 130 254 (2017) https://doi.org/10.1016/j.sigpro.2016.07.016
3D multi-energy deconvolution electron microscopy
Michiel de Goede, Eric Johlin, Beniamino Sciacca, Faysal Boughorbel and Erik C. Garnett Nanoscale 9 (2) 684 (2017) https://doi.org/10.1039/C6NR07991A
Nonnegative Sparse Blind Source Separation for NMR Spectroscopy by Data Clustering, Model Reduction, and $\ell_1$ Minimization
Yuanchang Sun and Jack Xin SIAM Journal on Imaging Sciences 5 (3) 886 (2012) https://doi.org/10.1137/110827223
A variational Bayesian approach for unsupervised super-resolution using mixture models of point and smooth sources applied to astrophysical map-making
Hacheme Ayasso, Thomas Rodet and Alain Abergel Inverse Problems 28 (12) 125005 (2012) https://doi.org/10.1088/0266-5611/28/12/125005
Coupled blind signal separation and spectroscopic database fitting of the mid infrared PAH features
M. J. F. Rosenberg, O. Berné, C. Boersma, L. J. Allamandola and A. G. G. M Tielens Astronomy & Astrophysics 532 A128 (2011) https://doi.org/10.1051/0004-6361/201016340
MULTI-APPROACH SATELLITE IMAGES FUSION BASED ON BLIND SOURCES SEPARATION
WADII BOULILA and IMED RIADH FARAH International Journal of Image and Graphics 11 (01) 117 (2011) https://doi.org/10.1142/S0219467811004020
Postprocessing and sparse blind source separation of positive and partially overlapped data
Y. Sun, C. Ridge, F. del Rio, A.J. Shaka and J. Xin Signal Processing 91 (8) 1838 (2011) https://doi.org/10.1016/j.sigpro.2011.02.007
Bayesian source separation for cosmology
E. Kuruoglu IEEE Signal Processing Magazine 27 (1) 43 (2010) https://doi.org/10.1109/MSP.2009.934718
Nonnegative Least-Correlated Component Analysis for Separation of Dependent Sources by Volume Maximization
Fa-Yu Wang, Chong-Yung Chi, Tsung-Han Chan and Yue Wang IEEE Transactions on Pattern Analysis and Machine Intelligence 32 (5) 875 (2010) https://doi.org/10.1109/TPAMI.2009.72
Ercan E. Kuruoglu 824 (2010) https://doi.org/10.1109/ISSPA.2010.5605403
Accurate Estimation of ICA Weight Matrix by Implicit Constraint Imposition Using Lie Group
S.E. Selvan, A. Mustatea, C.C. Xavier and J. Sequeira IEEE Transactions on Neural Networks 20 (10) 1565 (2009) https://doi.org/10.1109/TNN.2009.2027017
Nonnegative Matrix Factorization of Laboratory Astrophysical Ice Mixtures
Jorge Igual and Raul Llinares IEEE Journal of Selected Topics in Signal Processing 2 (5) 697 (2008) https://doi.org/10.1109/JSTSP.2008.2005324
Wavelet packets approach to blind separation of statistically dependent sources
Ivica Kopriva and Damir Seršić Neurocomputing 71 (7-9) 1642 (2008) https://doi.org/10.1016/j.neucom.2007.04.002
Springer Handbook of Speech Processing
Michael Syskind Pedersen, Jan Larsen, Ulrik Kjems and Lucas C. Parra Springer Handbook of Speech Processing 1065 (2008) https://doi.org/10.1007/978-3-540-49127-9_52
Extended Red Emission and the evolution of carbonaceous nanograins in NGC 7023
O. Berné, C. Joblin, M. Rapacioli, et al. Astronomy & Astrophysics 479 (3) L41 (2008) https://doi.org/10.1051/0004-6361:20079158
An informed source separation of astrophysical ice analogs
Jorge Igual and Raul Llinares Digital Signal Processing 17 (5) 947 (2007) https://doi.org/10.1016/j.dsp.2007.02.003
Multispectral analysis of solar EUV images: linking temperature to morphology
T. Dudok de Wit and F. Auchère Astronomy & Astrophysics 466 (1) 347 (2007) https://doi.org/10.1051/0004-6361:20066764
Independent Component Analysis and Signal Separation
O. Berné, Y. Deville and C. Joblin Lecture Notes in Computer Science, Independent Component Analysis and Signal Separation 4666 681 (2007) https://doi.org/10.1007/978-3-540-74494-8_85
Independent Component Analysis and Blind Signal Separation
Jorge Igual, Raul Llinares and Addisson Salazar Lecture Notes in Computer Science, Independent Component Analysis and Blind Signal Separation 3889 368 (2006) https://doi.org/10.1007/11679363_46
Independent component analysis: A new possibility for analysing series of electron energy loss spectra
Noël Bonnet and Danielle Nuzillard Ultramicroscopy 102 (4) 327 (2005) https://doi.org/10.1016/j.ultramic.2004.11.003
Blind source separation of positive and partially correlated data
Wady Naanaa and Jean-Marc Nuzillard Signal Processing 85 (9) 1711 (2005) https://doi.org/10.1016/j.sigpro.2005.03.006
F. Bazso, L. Zalanyi and A. Petroczi 4 2843 (2004) https://doi.org/10.1109/IJCNN.2004.1381108
Independent Component Analysis and Blind Signal Separation
Albert Bijaoui, Danielle Nuzillard and Tanusree Deb Barma Lecture Notes in Computer Science, Independent Component Analysis and Blind Signal Separation 3195 97 (2004) https://doi.org/10.1007/978-3-540-30110-3_13
Independent Component Analysis and Blind Signal Separation
Danielle Nuzillard and Noël Bonnet Lecture Notes in Computer Science, Independent Component Analysis and Blind Signal Separation 3195 1150 (2004) https://doi.org/10.1007/978-3-540-30110-3_145
K.S. Ettabaa, I.R. Farah and M.B. Ahmed 3 1579 (2004) https://doi.org/10.1109/ICIT.2004.1490802
Multidetector multicomponent spectral matching and applications for cosmic microwave background data analysis
J. Delabrouille, J.-F. Cardoso and G. Patanchon Monthly Notices of the Royal Astronomical Society 346 (4) 1089 (2003) https://doi.org/10.1111/j.1365-2966.2003.07069.x
I.R. Farah, M.B. Ahmed and M.R. Boussema 6 3638 (2003) https://doi.org/10.1109/IGARSS.2003.1294879
Independent component analysis for artefact separation in astrophysical images
Maria Funaro, Erkki Oja and Harri Valpola Neural Networks 16 (3-4) 469 (2003) https://doi.org/10.1016/S0893-6080(03)00017-0
I.R. Farah and M.B. Ahmed 2 919 (2002) https://doi.org/10.1109/IGARSS.2002.1025729
S.A. Robila and P.K. Varshney 6 3516 (2002) https://doi.org/10.1109/IGARSS.2002.1027234