Jean-Luc Starck

ORCID

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 50

Top Venues

Publications

Utsav Akhaury, Pascale Jablonka, Jean-Luc Starck, Frédéric Courbin
Ground-based image deconvolution with Swin Transformer UNet. CoRR (2024)
Zaccharie Ramzi, Kevin Michalewicz, Jean-Luc Starck, Thomas Moreau, Philippe Ciuciu
Wavelets in the Deep Learning Era. J. Math. Imaging Vis. 65 (1) (2023)
Tobias Liaudat, Jean-Luc Starck, Martin Kilbinger, Pierre-Antoine Frugier
Point spread function modelling for astronomical telescopes: a review focused on weak gravitational lensing studies. CoRR (2023)
Benjamin Naoto Chiche, Julien N. Girard, Joana Frontera-Pons, Arnaud Woiselle, Jean-Luc Starck
Deep learning-based deconvolution for interferometric radio transient reconstruction. CoRR (2023)
Zaccharie Ramzi, Florian Mannel, Shaojie Bai, Jean-Luc Starck, Philippe Ciuciu, Thomas Moreau
SHINE: SHaring the INverse Estimate from the forward pass for bi-level optimization and implicit models. ICLR (2022)
Denise Lanzieri, François Lanusse, Jean-Luc Starck
Hybrid Physical-Neural ODEs for Fast N-body Simulations. CoRR (2022)
E. Tolley, D. Korber, A. Galan, Austin Peel, M. T. Sargent, Jean-Paul Kneib, F. Courbin, Jean-Luc Starck
Lightweight HI source finding for next generation radio surveys. Astron. Comput. 41 (2022)
Yanis Guimard, Ming Jiang, Zhenghao Zhu, Huanyuan Shan, Jalal Fadili, Jean-Luc Starck
Statistical and morphological component separation of foregrounds in convolved HI skymaps. SiPS (2022)
Benjamin Naoto Chiche, Arnaud Woiselle, Joana Frontera-Pons, Jean-Luc Starck
Stable Long-Term Recurrent Video Super-Resolution. CVPR (2022)
Zaccharie Ramzi, Chaithya G. R., Jean-Luc Starck, Philippe Ciuciu
NC-PDNet: A Density-Compensated Unrolled Network for 2D and 3D Non-Cartesian MRI Reconstruction. IEEE Trans. Medical Imaging 41 (7) (2022)
Tobias Liaudat, Jean-Luc Starck, Martin Kilbinger, Pierre-Antoine Frugier
Rethinking data-driven point spread function modeling with a differentiable optical model. CoRR (2022)
Benjamin Remy, Francois Lanusse, Niall Jeffrey, Jia Liu, Jean-Luc Starck, Ken Osato, Tim Schrabback
Probabilistic Mass Mapping with Neural Score Estimation. CoRR (2022)
Zaccharie Ramzi, Florian Mannel, Shaojie Bai, Jean-Luc Starck, Philippe Ciuciu, Thomas Moreau
SHINE: SHaring the INverse Estimate from the forward pass for bi-level optimization and implicit models. CoRR (2021)
Benjamin Naoto Chiche, Arnaud Woiselle, Joana Frontera-Pons, Jean-Luc Starck
Stable Long-Term Recurrent Video Super-Resolution. CoRR (2021)
Zaccharie Ramzi, Philippe Ciuciu, Jean-Luc Starck
Density Compensated Unrolled Networks for Non-Cartesian MRI Reconstruction. CoRR (2021)
Zaccharie Ramzi, Alexandre Vignaud, Jean-Luc Starck, Philippe Ciuciu
Is good old GRAPPA dead? CoRR (2021)
Zaccharie Ramzi, Jean-Luc Starck, Philippe Ciuciu
Density Compensated Unrolled Networks For Non-Cartesian MRI Reconstruction. ISBI (2021)
Tobias Liaudat, Jean-Luc Starck, Martin Kilbinger, Pierre-Antoine Frugier
Rethinking the modeling of the instrumental response of telescopes with a differentiable optical model. CoRR (2021)
Matthew J. Muckley, Bruno Riemenschneider, Alireza Radmanesh, Sunwoo Kim, Geunu Jeong, Jingyu Ko, Yohan Jun, Hyungseob Shin, Dosik Hwang, Mahmoud Mostapha, Simon Arberet, Dominik Nickel, Zaccharie Ramzi, Philippe Ciuciu, Jean-Luc Starck, Jonas Teuwen, Dimitrios Karkalousos, Chaoping Zhang, Anuroop Sriram, Zhengnan Huang, Nafissa Yakubova, Yvonne W. Lui, Florian Knoll
Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction. IEEE Trans. Medical Imaging 40 (9) (2021)
Benjamin Naoto Chiche, Arnaud Woiselle, Joana Frontera-Pons, Jean-Luc Starck
Deep Unrolled Network for Video Super-Resolution. CoRR (2021)
Khanh-Hung Tran, Fred Maurice Ngolè Mboula, Jean-Luc Starck, Vincent Prost
Semi-supervised dictionary learning with graph regularization and active points. CoRR (2020)
Zaccharie Ramzi, Philippe Ciuciu, Jean-Luc Starck
XPDNet for MRI Reconstruction: an Application to the fastMRI 2020 Brain Challenge. CoRR (2020)
Khanh-Hung Tran, Fred Maurice Ngolè Mboula, Jean-Luc Starck, Vincent Prost
Semisupervised Dictionary Learning with Graph Regularized and Active Points. SIAM J. Imaging Sci. 13 (2) (2020)
Matthew J. Muckley, Bruno Riemenschneider, Alireza Radmanesh, Sunwoo Kim, Geunu Jeong, Jingyu Ko, Yohan Jun, Hyungseob Shin, Dosik Hwang, Mahmoud Mostapha, Simon Arberet, Dominik Nickel, Zaccharie Ramzi, Philippe Ciuciu, Jean-Luc Starck, Jonas Teuwen, Dimitrios Karkalousos, Chaoping Zhang, Anuroop Sriram, Zhengnan Huang, Nafissa Yakubova, Yvonne W. Lui, Florian Knoll
State-of-the-Art Machine Learning MRI Reconstruction in 2020: Results of the Second fastMRI Challenge. CoRR (2020)
Benjamin Naoto Chiche, Joana Frontera-Pons, Arnaud Woiselle, Jean-Luc Starck
Deep Unrolled Network for Video Super-Resolution. IPTA (2020)
Zaccharie Ramzi, Jean-Luc Starck, Thomas Moreau, Philippe Ciuciu
Wavelets in the Deep Learning Era. EUSIPCO (2020)
Zaccharie Ramzi, Benjamin Remy, Francois Lanusse, Jean-Luc Starck, Philippe Ciuciu
Denoising Score-Matching for Uncertainty Quantification in Inverse Problems. CoRR (2020)
Khanh-Hung Tran, Fred Maurice Ngolè Mboula, Jean-Luc Starck
Manifold attack. CoRR (2020)
Samuel Farrens, Antoine Grigis, Loubna El Gueddari, Zaccharie Ramzi, Chaithya G. R., S. Starck, B. Sarthou, Hamza Cherkaoui, Philippe Ciuciu, Jean-Luc Starck
PySAP: Python Sparse Data Analysis Package for multidisciplinary image processing. Astron. Comput. 32 (2020)
Zaccharie Ramzi, Philippe Ciuciu, Jean-Luc Starck
Benchmarking Deep Nets MRI Reconstruction Models on the Fastmri Publicly Available Dataset. ISBI (2020)
Radamanthys Stivaktakis, Grigorios Tsagkatakis, Bruno Moraes, Filipe B. Abdalla, Jean-Luc Starck, Panagiotis Tsakalides
Convolutional Neural Networks for Spectroscopic Redshift Estimation on Euclid Data. IEEE Trans. Big Data 6 (3) (2020)
Morgan A. Schmitz, Matthieu Heitz, Nicolas Bonneel, Fred Maurice Ngolè Mboula, David Coeurjolly, Marco Cuturi, Gabriel Peyré, Jean-Luc Starck
Wasserstein Dictionary Learning: Optimal Transport-Based Unsupervised Nonlinear Dictionary Learning. SIAM J. Imaging Sci. 11 (1) (2018)
Hamza Cherkaoui, Loubna El Gueddari, Carole Lazarus, Antoine Grigis, Fabrice Poupon, Alexandre Vignaud, Samuel Farrens, Jean-Luc Starck, Philippe Ciuciu
Analysis vs Synthesis-based Regularization for Combined Compressed Sensing and Parallel MRI Reconstruction at 7 Tesla. EUSIPCO (2018)
Julian Merten, Carlo Giocoli, Marco Baldi, Massimo Meneghetti, Austin Peel, Florian Lalande, Jean-Luc Starck, Valeria Pettorino
On the dissection of degenerate cosmologies with machine learning. CoRR (2018)
Khanh-Hung Tran, Fred Maurice Ngolè Mboula, Jean-Luc Starck
Semi-supervised dual graph regularized dictionary learning. CoRR (2018)
Joana Frontera-Pons, Florent Sureau, Bruno Moraes, Jérôme Bobin, Filipe B. Abdalla, Jean-Luc Starck
Dictionary Learning for Photometric Redshift Estimation. EUSIPCO (2018)
Athanasia Panousopoulou, Samuel Farrens, Konstantina Fotiadou, Arnaud Woiselle, Grigorios Tsagkatakis, Jean-Luc Starck, Panagiotis Tsakalides
A Distributed Learning Architecture for Scientific Imaging Problems. CoRR (2018)
Konstantinos E. Themelis, Francois Lanusse, Niall Jeffrey, Austin Peel, Jean-Luc Starck, Filipe B. Abdalla
Modelling Data with both Sparsity and a Gaussian Random Field: Application to Dark Matter Mass Mapping in Cosmology. EUSIPCO (2018)
Athanasia Panousopoulou, Sammuel Farrens, Yiannis Mastorakis, Jean-Luc Starck, Panagiotis Tsakalides
A distributed learning architecture for big imaging problems in astrophysics. EUSIPCO (2017)
Ming Jiang, Jérôme Bobin, Jean-Luc Starck
Joint Multichannel Deconvolution and Blind Source Separation. CoRR (2017)
Fred Maurice Ngolè Mboula, Jean-Luc Starck
PSF field learning based on Optimal Transport Distances. CoRR (2017)
Ming Jiang, Jérôme Bobin, Jean-Luc Starck
Joint Multichannel Deconvolution and Blind Source Separation. SIAM J. Imaging Sci. 10 (4) (2017)
Fred Maurice Ngolè Mboula, Jean-Luc Starck
Point Spread Function Field Learning Based on Optimal Transport Distances. SIAM J. Imaging Sci. 10 (3) (2017)
Morgan A. Schmitz, Matthieu Heitz, Nicolas Bonneel, Fred Maurice Ngolè Mboula, David Coeurjolly, Marco Cuturi, Gabriel Peyré, Jean-Luc Starck
Wasserstein Dictionary Learning: Optimal Transport-based unsupervised non-linear dictionary learning. CoRR (2017)
Jérémy Rapin, Antoine Souloumiac, Jérôme Bobin, Anthony Larue, Christophe Junot, Minale Ouethrani, Jean-Luc Starck
Application of non-negative matrix factorization to LC/MS data. Signal Process. 123 (2016)
Fred Maurice Ngolè Mboula, Jean-Luc Starck, Koryo Okumura, Jérôme Amiaux, Patrick Hudelot
Constraint matrix factorization for space variant PSFs field restoration. CoRR (2016)
Vinayak Abrol, Olivier Absil, Pierre-Antoine Absil, Sandrine Anthoine, Philippe Antoine, Thomas Arildsen, Nancy Bertin, Folkert Bleichrodt, Jérôme Bobin, Anne Bol, Antoine Bonnefoy, Francesco Caltagirone, Valerio Cambareri, Cecile Chenot, Vladimir S. Crnojevic, Marie Danková, Kévin Degraux, Jens Eisert, Mohamed-Jalal Fadili, Marylou Gabrié, Nicolas Gac, Daniele Giacobello, Carlos A. Gomez Gonzalez, Adriana Gonzalez, Pierre-Yves Gousenbourger, Mads Græsbøll Christensen, Rémi Gribonval, Stéphanie Guérit, Shaoguang Huang, Paul Irofti, Laurent Jacques, Ulugbek S. Kamilov, Srdan Kitic, Martin Kliesch, Florent Krzakala, John A. Lee, Wenzhi Liao, Tobias Lindstrøm Jensen, Andre Manoel, Hassan Mansour, Ali Mohammad-Djafari, Amirafshar Moshtaghpour, Fred Maurice Ngolè Mboula, Benoît Pairet, Marko Panic, Gabriel Peyré, Aleksandra Pizurica, Pavel Rajmic, Matthieu Roblin, Ingo Roth, Anil Kumar Sao, Pulkit Sharma, Jean-Luc Starck, Eric W. Tramel, Toon van Waterschoot, Dejan Vukobratovic, Li Wang, Benedikt Wirth, Gerhard Wunder, Hongyan Zhang
Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16). CoRR (2016)
M. Jiang, Julien N. Girard, Jean-Luc Starck, S. Corbel, Cyril Tasse
Compressed sensing and radio interferometry. EUSIPCO (2015)
George Tzagkarakis, Panagiotis Tsakalides, Jean-Luc Starck
Compressive Video Sensing with Adaptive Measurement Allocation for Improving MPEGx Performance. VISAPP (1) (2015)
Jérôme Bobin, Jérémy Rapin, Anthony Larue, Jean-Luc Starck
Sparsity and Adaptivity for the Blind Separation of Partially Correlated Sources. IEEE Trans. Signal Process. 63 (5) (2015)
Jérôme Bobin, Jérémy Rapin, Anthony Larue, Jean-Luc Starck
Sparsity and adaptivity for the blind separation of partially correlated sources. CoRR (2014)
Laurent Jacques, Christophe De Vleeschouwer, Yannick Boursier, Prasad Sudhakar, C. De Mol, Aleksandra Pizurica, Sandrine Anthoine, Pierre Vandergheynst, Pascal Frossard, Cagdas Bilen, Srdan Kitic, Nancy Bertin, Rémi Gribonval, Nicolas Boumal, Bamdev Mishra, Pierre-Antoine Absil, Rodolphe Sepulchre, Shaun Bundervoet, Colas Schretter, Ann Dooms, Peter Schelkens, Olivier Chabiron, François Malgouyres, Jean-Yves Tourneret, Nicolas Dobigeon, Pierre Chainais, Cédric Richard, Bruno Cornelis, Ingrid Daubechies, David B. Dunson, Marie Danková, Pavel Rajmic, Kévin Degraux, Valerio Cambareri, Bert Geelen, Gauthier Lafruit, Gianluca Setti, Jean-François Determe, Jérôme Louveaux, François Horlin, Angélique Drémeau, Patrick Héas, Cédric Herzet, Vincent Duval, Gabriel Peyré, Alhussein Fawzi, Mike E. Davies, Nicolas Gillis, Stephen A. Vavasis, Charles Soussen, Luc Le Magoarou, Jingwei Liang, Jalal Fadili, Antoine Liutkus, David Martina, Sylvain Gigan, Laurent Daudet, Mauro Maggioni, Stanislav Minsker, Nate Strawn, C. Mory, Fred Maurice Ngolè Mboula, Jean-Luc Starck, Ignace Loris, Samuel Vaiter, Mohammad Golbabaee, Dejan Vukobratovic
Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14). CoRR (2014)
Jérémy Rapin, Jérôme Bobin, Anthony Larue, Jean-Luc Starck
NMF with Sparse Regularizations in Transformed Domains. SIAM J. Imaging Sci. 7 (4) (2014)
Jérémy Rapin, Jérôme Bobin, Anthony Larue, Jean-Luc Starck
NMF with Sparse Regularizations in Transformed Domains. CoRR (2014)
Jérôme Bobin, Jean-Luc Starck, Jérémy Rapin, Anthony Larue
Sparse blind source separation for partially correlated sources. ICIP (2014)
Fred Maurice Ngolè Mboula, Jean-Luc Starck, Samuel Ronayette, Koryo Okumura, Jérôme Amiaux
Super-resolution method using sparse regularization for point-spread function recovery. CoRR (2014)
Grigorios Tsagkatakis, Panagiotis Tsakalides, Arnaud Woiselle, Marc Bousquet, George Tzagkarakis, Jean-Luc Starck
Compressed sensing reconstruction of convolved sparse signals. ICASSP (2014)
Jérémy Rapin, Jérôme Bobin, Anthony Larue, Jean-Luc Starck
Sparse and Non-Negative BSS for Noisy Data. IEEE Trans. Signal Process. 61 (22) (2013)
Jérémy Rapin, Jérôme Bobin, Anthony Larue, Jean-Luc Starck
Sparse redundant formulations and non-negativity in Blind Source Separation. EUSIPCO (2013)
Jérémy Rapin, Jérôme Bobin, Anthony Larue, Jean-Luc Starck
Sparse and Non-Negative BSS for Noisy Data. CoRR (2013)
George Tzagkarakis, Panagiotis Tsakalides, Jean-Luc Starck
Covariation-based subspace-augmented MUSIC for joint sparse support recovery in impulsive environments. Signal Process. 93 (5) (2013)
George Tzagkarakis, Alin Achim, Panagiotis Tsakalides, Jean-Luc Starck
Joint reconstruction of compressively sensed ultrasound RF echoes by exploiting temporal correlations. ISBI (2013)
Simon Beckouche, Jean-Luc Starck, Jalal Fadili
Astronomical Image Denoising Using Dictionary Learning CoRR (2013)
George Tzagkarakis, Arnaud Woiselle, Panagiotis Tsakalides, Jean-Luc Starck
Design of a Compressive Remote Imaging System Compensating a Highly Lightweight Encoding with a Refined Decoding Scheme. VISAPP (1) (2012)
George Tzagkarakis, Grigorios Tsagkatakis, Jean-Luc Starck, Panagiotis Tsakalides
Compressive video classification in a low-dimensional manifold with learned distance metric. EUSIPCO (2012)
David L. Donoho, Yaakov Tsaig, Iddo Drori, Jean-Luc Starck
Sparse Solution of Underdetermined Systems of Linear Equations by Stagewise Orthogonal Matching Pursuit. IEEE Trans. Inf. Theory 58 (2) (2012)
George Tzagkarakis, Pavlos Charalampidis, Grigorios Tsagkatakis, Jean-Luc Starck, Panagiotis Tsakalides
Compressive video classification for decision systems with limited resources. PCS (2012)
François-Xavier Dupé, Jalal Fadili, Jean-Luc Starck
Linear inverse problems with various noise models and mixed regularizations. VALUETOOLS (2011)
Jean-Luc Starck, Jalal Fadili, Michael Elad, Robert D. Nowak, Panagiotis Tsakalides
Introduction to the issue on Adaptive Sparse Representation of Data and Applications in Signal and Image Processing. IEEE J. Sel. Top. Signal Process. 5 (5) (2011)
François-Xavier Dupé, Mohamed-Jalal Fadili, Jean-Luc Starck
Inverse problems with poisson noise: Primal and primal-dual splitting. ICIP (2011)
George Tzagkarakis, Jean-Luc Starck, Panagiotis Tsakalides
Joint sparse signal ensemble reconstruction in a WSN using decentralized Bayesian matching pursuit. EUSIPCO (2011)
François-Xavier Dupé, Mohamed-Jalal Fadili, Jean-Luc Starck
Data augmentation for galaxy density map reconstruction. ICIP (2011)
Jérôme Bobin, Florent Sureau, Jean-Luc Starck
Source separation in cosmology, from global to local models. ICIP (2011)
Arnaud Woiselle, Jean-Luc Starck, Jalal Fadili
3-D Data Denoising and Inpainting with the Low-Redundancy Fast Curvelet Transform. J. Math. Imaging Vis. 39 (2) (2011)
Mohamed-Jalal Fadili, Jean-Luc Starck, Jérôme Bobin, Yassir Moudden
Image Decomposition and Separation Using Sparse Representations: An Overview. Proc. IEEE 98 (6) (2010)
Gabriel Peyré, Jalal Fadili, Jean-Luc Starck
Learning the Morphological Diversity. SIAM J. Imaging Sci. 3 (3) (2010)
Jean-Luc Starck, Jérôme Bobin
Astronomical Data Analysis and Sparsity: From Wavelets to Compressed Sensing. Proc. IEEE 98 (6) (2010)
Sandrine Pires, Jean-Luc Starck, Alexandre Refregier
Light on dark matter with weak gravitational lensing. IEEE Signal Process. Mag. 27 (1) (2010)
Mohamed-Jalal Fadili, Jean-Luc Starck, Michael Elad, David L. Donoho
MCALab: Reproducible Research in Signal and Image Decomposition and Inpainting. Comput. Sci. Eng. 12 (1) (2010)
Mohamed-Jalal Fadili, Jean-Luc Starck
Monotone operator splitting for optimization problems in sparse recovery. ICIP (2009)
Jean-Luc Starck, Mohamed-Jalal Fadili
An overview of inverse problem regularization using sparsity. ICIP (2009)
Yassir Moudden, Jérôme Bobin, Jean-Luc Starck, Jalal Fadili
Blind Source Separation with Spatio-SpectralSparsity Constraints - Application to Hyperspectral Data Analysis. ICA (2009)
François-Xavier Dupé, Mohamed-Jalal Fadili, Jean-Luc Starck
A Proximal Iteration for Deconvolving Poisson Noisy Images Using Sparse Representations. IEEE Trans. Image Process. 18 (2) (2009)
Mohamed-Jalal Fadili, Jean-Luc Starck, Fionn Murtagh
Inpainting and Zooming Using Sparse Representations. Comput. J. 52 (1) (2009)
Jérôme Bobin, Yassir Moudden, Jean-Luc Starck, Mohamed-Jalal Fadili
Sparsity and morphological diversity for hyperspectral data analysis. ICIP (2009)
Fionn Murtagh, Pedro Contreras, Jean-Luc Starck
Scale-Based Gaussian Coverings: Combining Intra and Inter Mixture Models in Image Segmentation CoRR (2009)
Christophe Chesneau, Mohamed-Jalal Fadili, Jean-Luc Starck
Image deconvolution by stein block thresholding. ICIP (2009)
Fionn Murtagh, Pedro Contreras, Jean-Luc Starck
Scale-Based Gaussian Coverings: Combining Intra and Inter Mixture Models in Image Segmentation. Entropy 11 (3) (2009)
Jérôme Bobin, Yassir Moudden, Jalal Fadili, Jean-Luc Starck
Morphological Diversity and Sparsity for Multichannel Data Restoration. J. Math. Imaging Vis. 33 (2) (2009)
Jérôme Bobin, Jean-Luc Starck, Roland Ottensamer
Compressed Sensing in Astronomy. IEEE J. Sel. Top. Signal Process. 2 (5) (2008)
François-Xavier Dupé, Mohamed-Jalal Fadili, Jean-Luc Starck
Image deconvolution under poisson noise using sparse representations and proximal thresholding iteration. ICASSP (2008)
Fionn Murtagh, Jean-Luc Starck
Wavelet and curvelet moments for image classification: Application to aggregate mixture grading. Pattern Recognit. Lett. 29 (10) (2008)
Bo Zhang, Mohamed-Jalal Fadili, Jean-Luc Starck
Wavelets, Ridgelets, and Curvelets for Poisson Noise Removal. IEEE Trans. Image Process. 17 (7) (2008)
Fionn Murtagh, Jean-Luc Starck
Wavelet and Curvelet Moments for Image Classification: Application to Aggregate Mixture Grading CoRR (2008)
François-Xavier Dupé, Mohamed-Jalal Fadili, Jean-Luc Starck
Deconvolution of confocal microscopy images using proximal iteration and sparse representations. ISBI (2008)
Bo Zhang, Jalal Fadili, Jean-Luc Starck, Jean-Christophe Olivo-Marin
Multiscale Variance-Stabilizing Transform for Mixed-Poisson-Gaussian Processes and its Applications in Bioimaging. ICIP (6) (2007)
Jean-Luc Starck, Jalal Fadili, Fionn Murtagh
The Undecimated Wavelet Decomposition and its Reconstruction. IEEE Trans. Image Process. 16 (2) (2007)
Jérôme Bobin, Jean-Luc Starck, Jalal Fadili, Yassir Moudden
Sparsity and Morphological Diversity in Blind Source Separation. IEEE Trans. Image Process. 16 (11) (2007)
Mohamed-Jalal Fadili, Jean-Luc Starck, Larbi Boubchir
Morphological Diversity and Sparse Image Denoising. ICASSP (1) (2007)
Jérôme Bobin, Yassir Moudden, Jalal Fadili, Jean-Luc Starck
Morphological Diversity and Sparsity in Blind Source Separation. ICA (2007)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jean-Luc Starck