Other Publications
- S. Pires, J. Bergé, Q. Baghi, P. Touboul, G. Métris, "Dealing with missing data in the MICROSCOPE space mission: An adaptation of inpainting to handle colored-noise data", S. Pires, J. Bergé, Q. Baghi, P. Touboul, G. Métris, Physical Review D, Vol 94, id 123015., December 2016
- C.-A. Lin., M. Kilbinger, and S. Pires. A new model to predict weak-lensing peak counts III. Filtering technique comparisons. A&A, Vol. 593, id. A88, 14 pp., September 2016
- F. M. Ngolè Mboula, J.-L. Starck, K. Okomura, J. Amiaux, P. Hudelot."Constraint matrix factorization for space variant PSFs field restoration", Inverse Problems, in press, 2016.
- R. Joseph, F. Courbin, J.-L. Starck, "Multi-band morpho-Spectral Component Analysis Deblending Tool (MuSCADeT): Deblending colourful objects",A&A, 589, id.A2, pp 10, 2016.
- F. Lanusse, J.-L. Starck, A. Leonard, S. Pires, "High Resolution Weak Lensing Mass-Mapping Combining Shear and Flexion", A&A, 591, id.A2, 19 pp, 2016.
- J. Rapin, A. Souloumiac, J. Bobin, A. Larue, C. Junot, M.Ouethranic and J.-L. Starck, Application of Non-negative Matrix Factorization to LC/MS data, Signal Processing, 123, pp 75-83, 2016.
- J. Bobin, F. Sureau and J.-L. Starck, CMB reconstruction from the WMAP and Planck PR2 data, A&A, 591, id.A50, 12 pp, 2016, 2016.
- J. Bobin, F. Sureau and J.-L. Starck, Polarized CMB recovery with sparse component separation, A&A, 583, id.A92, pp 12, 2015.
- C.-A. Lin & M. Kilbinger. A new model to predict weak-lensing peak counts II. Parameter constraint strategies. A&A, 583, A70, 2015.
- J.Bobin, J. .Rapin, A. Larue, and J.-L. Starck, Sparsity and Adaptivity for the Blind Separation of Partially Correlated Sources, ITIP, vol. 63, issue 5, pp. 1199-1213, 2015.
- P. Paykari, S. Pires, J.-L. Starck, A. H. Jaffe. Sparsely Sampling the Sky: Regular vs Random Sampling. Accepted by MNRAS, July 2015.
- R. Mandelbaum et al. GREAT3 results I: systematic errors in shear estimation and the impact of real galaxy morphology,, MNRAS, 450, 3, 2015.
- A. Leonard, F. Lanusse, and J.-L. Starck, Weak lensing reconstructions in 2D & 3D: implications for cluster studies. MNRAS, 449, 1146–1157, 2015.
- H. Garsden, J. Girard, J.-L. Starck, S. Corbel, C. Tasse et al. LOFAR Sparse Image Reconstruction. A&A, 575, A90, 2015.
- F. Lanusse, A. Rassat, and J-L. Starck, 3D Galaxy Clustering with Future Wide-Field Surveys: Advantages of a Spherical Fourier-Bessel analysis. A&A, 578, A10, 2015.
- C.-A. Lin and M. Kilbinger. A New Model to Predict Weak Lensing Peak Counts I. Comparison with N-body Simulations. A&A, 576, A24.
- S. Pires, S. Mathur, R. A. Garcia, J. Ballot, D. Stello, and K. Sato. Gap interpolation by inpainting methods : Application to Ground and Space-based Asteroseismic data. A&A, 574, A18, 2015
- F. M. Mboula, J.-L. Starck, S. Ronayette, K. Okumura, and J. Amiaux. Super-resolution method using sparse regularization for point-spread function recovery. A&A, 575, A86, 2015.
- C.Chenot, J.Bobin, J.Rapin. Robust Sparse Blind Source Separation, IEEE Signal Processing Letters, Nov. 2015.
- R. A. Garcia, S. Mathur, S. Pires et al. Impact on asteroseismic analyses from regular gaps in Kepler data. A&A, 568, A10, 2014.
- E. Jullo, S. Pires, M. Jauzac, and J.-P. Kneib. Weak lensing Galaxy Cluster Field Reconstruction. MNRAS, 437, 3969, 2014.
- F. Lanusse, P. Paykari, J.-L. Starck, S. Sureau, J. Bobin, A. Rassat. PRISM: Recovery of the primordial spectrum from Planck data. A&A, 571, L1, 2014.
- J. Rapin, J. Bobin, A. Larue, and J.-L. Starck. NMF with Sparse Regularizations in Transformed Domains. SIAM Journal on Imaging Sciences, 7, pp 2020, 2014.
- P. Paykari, F. Lanusse, and J.-L. Starck. Sparse Recovery of the Primordial Power Spectrum. A&A, 566, A77, 2014.
- A. Rassat, J.-L. Starck, P. Paykari, F. Sureau, and J. Bobin. Planck CMB Anomalies: Astrophysical and Cosmological Foregrounds and the Curse of Masking. JCAP, 08, 006, 2014.
- J. Bobin, F. Sureau, J.-L. Starck, A. Rassat, and P. Paykari. Joint Planck and WMAP CMB Map Reconstruction. A&A, 563, A105, 2014.
- A. Leonard, F. Lanusse, and J.-L. Starck. GLIMPSE: Accurate 3D weak lensing reconstructions using sparsity. MNRAS, 440, 2, 2014.
- J. Rapin, J. Bobin, A. Larue and J.-L. Starck. Sparse and Non-negative BSS for Noisy Data. IEEE Transactions on Signal Processing, 21, 62, 5620, 2013.
- D. Machado, A. Leonard, J.-L. Starck, and F. Abdalla. Darth Fader: Using wavelets to obtain accurate redshifts of spectra at very low signal-to-noise. A&A, 560, A83, 2013.
- A. Rassat and J.-L. Starck. On Preferred Axes in WMAP Cosmic Microwave Background Data after Subtraction of the Integrated Sachs-Wolfe Effect. A&A, 557, L1, 2013.
- A. Rassat, J.-L. Starck, and F. X. Dupe. Removal of two large scale Cosmic Microwave Background anomalies after subtraction of the Integrated Sachs Wolfe effect. A&A, 557, A32, 2013.
- J. Bobin, F. Sureau, P. Paykari, A. Rassat, S. Basak, and J.-L. Starck. WMAP 9-year CMB estimation using sparsity. A&A, 553, L4, 2013.
- J.-L. Starck, D. L. Donoho, M. J. Fadili, and A. Rassat. Sparsity and the Bayesian Perspective. A&A, 552, A133, 2013.
- S. Beckouche, J.-L. Starck, G. Peyre, and J. Fadili. Astronomical Image Denoising using Dictionary Learning. A&A, 556, A132, 2013.
- E. Chapman et al. The Scale of the Problem : Recovering Images of Reionization with GMCA. MNRAS, 429, 165, 2013.
- J. Bobin, J.-L. Starck, F. Sureau, and S. Basak. Sparse component separation for accurate CMB map estimation. A&A, 550, A73, 2013.
- J.-L. Starck, A. Rassat, and M. J. Fadili. Low-l CMB Analysis and Inpainting. A&A, 550, A15, 2013.
- Lanusse, J.-L. Starck, A. Woiselle, and M. J. Fadili. 3D Sparse Representations, in Advances in Imaging and Electron Physics, Elsevier, pp. 99-204, 2014.
- A. Leonard, J.-L. Starck, S. Pires, and F.-X Dupe. Exploring the Components of the Universe Through Higher-Order Weak Lensing Statistics, in Open Questions in Cosmology, G. J. Olmo (Ed.), InTech, ISBN 978-953-51-0880-1, DOI: 10.5772/51871, 2012.
- J. Schmitt, J.-L. Starck, J. Fadili, and S. Digel. Poisson Noise Removal in Spherical Multichannel Images: Application to Fermi Data, in Advances in Machine Learning and Data Mining for Astronomy, M. J. Way, J. D. Scargle, K. M. Ali, A. N. Srivastava (Eds.), CRC Press, Taylor & Francis Group, pp. 183-209, 2012.
- S. Pires, J.-L. Starck, A. Leonard, and A. Refregier. Weak Graviational Lensing, in Advances in Machine Learning and Data Mining for Astronomy, M. J. Way, J. D. Scargle, K. M. Ali, A. N. Srivastava (Eds.), CRC Press, Taylor & Francis Group, pp. 287-321, 2012.
- P. Paykari and J.-L. Starck, Cosmic Microwave Background Data Analysis, in Advances in Machine Learning and Data Mining for Astronomy, M. J. Way, J. D. Scargle, K. M. Ali, A. N. Srivastava (Eds.), CRC Press, Taylor & Francis Group, pp. 55-87, 2012.
- A. Labatie, J.-L. Starck, and M. Lachieze-Rey. Statistical Study of the Galaxy Distribution, in Advances in Modern Cosmology, A. Ghribi (Ed.), InTech, ISBN 978-953-307-423-8, 2011.
- J.-L. Starck, F. Murtagh, and M. Bertero. The Starlet Transform in Astronomical Data Processing: Application to Source Detection and Image Deconvolution, in Handbook of Mathematical Methods in Imaging, Springer, 2011.
- J.-L. Starck and M. J. Fadili. Numerical Issues When Using Wavelets, in Encyclopedia of Complexity and Systems Science, R. Meyers (Ed.), Vol. 14, Springer, New York, pp. 6352-6368, 2009.
- M. J. Fadili, J.-L. Starck. Curvelets and Ridgelets, in Encyclopedia of Complexity and Systems Science , Vol. 3, R. Meyers (Ed.), Springer, New York, pp. 1718-1738, 2009.
- J. Bobin, J.-L. Starck, M.J. Fadili, and Y. Moudden. Blind Source Separation: The Sparsity Revolution, in Advances in Imaging and Electron Physics , Vol. 152, pp. 221-306, 2008.
- E. Pantin, J.-L. Starck, and F. Murtagh, Deconvolution and Blind Deconvolution in Astronomy, in Blind image deconvolution: theory and applications, K. Egiazarian and P. Campisi (Eds.), CRC Press, pp. 277-317, 2007.
- J.-L. Starck, M. Elad, and D. L. Donoho, Redundant Multiscale Transforms and their Application for Morphological Component Analysis, in Advances in Imaging and Electron Physics, 132, 2004.
- J.-L. Starck and F. Murtagh (Eds.). Astronomical Data Analysis II, Proceedings of SPIE, Vol. 4847, SPIE, Bellingham, 2002.
- J.-L. Starck, Astronomical Data Analsyis: Perspectives from Multiscale Analysis, in Grands Releves et Observatoires Virtuels, Ecole CNRS de Goutelas XXIV (2001), D. Egret and J. L. Halbwachs (Eds.), pp. 187-214, 2002.
- J.-L. Starck, Non Linear Multiscale Transforms, in Multiscale and Multiresolution Methods, T. J. Barth, T. Chan, and R. Haimes (Eds.), Springer, pp. 239-278, 2002.
- J.-L. Starck and F. Murtagh (Eds.). Astronomical Data Analysis, Proceedings of SPIE, Vol. 4477, SPIE, Bellingham, 2001.
- F. Murtagh and J.-L. Starck. Multiscale image and data analysis, in Encyclopedia of Microcomputers, Vol. 26, Supp. 5, A. Kent and J.G. Williams (Eds.), Marcel Dekker, pp. 201-226, 2001
- J.-L. Starck, Data Analysis with ISOCAM, in IR Space Astronomy, today and tomorrow, F. Casoli, J. L. Lequeux, and F. Davids (Eds.), EDP Sciences - Springer-Verlag Publishers, pp. 63-87, 2000.