In the pipeline
M. Irfan, I.Carucci, J.Bobin, Component separation for 21cm intensity mapping: quantifying the accuracy of recovered foregrounds, in prep., 2020.
C. Kervazo, T. Liaudat, J.Bobin, Faster and better sparse BSS through mini-batch optimization, submitted., 2020.
C. Kervazo, J.Bobin, Sparse unsupervised non-linear source separation, in prep., 2020.
J. Xu, J.Bobin, A. de Vismes, C.Bobin, Spectral unmixing for activity estimation in gamma-ray spectrometry, revised, 2020.
J.Bobin, I. El Hamzaoui, F.Acero, A.Picquenot, Sparse BSS from Poisson measurements, in revision, 2019.
Sparse matrix factorization and blind source separation
Blind source separation
C.Kervazo, J.Bobin, C.Chenot, F.Sureau, Use of PALM for l_1 Sparse Matrix Factorization: Difficulty and Rationalization of a Two-Step Approach, DSP, vol.97, 2020.
J.Bobin , J. Rapin, J.L. Starck and A. Larue, Sparsity and adaptivity for the blind separation of partially correlated sources, IEEE TSP, 63(5), 2015.
Y.Moudden and J.Bobin, Hyperspectral BSS using GMCA with spatio-spectral sparsity constraints – IEEE Transactions on image processing – Vol 20. Issue 3. pages 872-879 (2011).
J.Bobin, J.-L. Starck, J. Fadili, Y.Moudden, Sparsity and Morphological Diversity in Blind Source Separation, IEEE Transactions on Image Processing, Vol.16, N.11, p. 2662-2674, November 2007.
Sparse Non-Negative Matrix Factorization (NMF)
C.Chenot, J.Bobin, Blind Source Separation with outliers in transformed domains, SIAM Imag. Sciences, vol.11, issue 2, 2018.
C.Chenot, J.Bobin, Unsupervised separation of sparse sources in the presence of outliers, Signal Processing, vol. 138, 2017.
BSS in the large-scale regime
C. Kervazo, J.Bobin, C.Chenot, Blind separation of a large number of sparse sources, Signal Processing, vol. 150, 2018.
Sparsity and signal processing
S.R. Becker, J.Bobin and E. Candes, Nesta: a fast and accurate first-order method for compressed sensing – 2009 – SIAM Journal of Imaging Science, Vol 4 #11 (2011).
J.-L. Starck and J.Bobin, Astronomical Data Analysis and Sparsity: from Wavelets to Compressed Sensing – 2009 – proceedings of the IEEE, special issue – Vol 98 – Issue 5 (2010).
Applications in cosmology and astrophysics
Cosmological microwave background
J.Bobin, F.Sureau, J-L Starck, CMB estimation from the WMAP and Planck PR2 data, A&A, 2016.
J.Bobin, F.Sureau, J.-L. Starck, Polarized CMB map recovery with sparse component separation, A&A, 2015.
A.Rassat, J-L Starck, P. Paykari, F. Sureau and J.Bobin, Planck CMB anomalies: astrophysical and cosmological foregrounds and the curse of masking, A&A, 2014.
J.Bobin, J.-L. Starck, F. Sureau and S. Basak, Sparse component separation for accurate CMB map estimation, A&A, 550, K.2013.
M. Irfan, J.Bobin, M-A Miville-Deschênes, I. Grenier Determining thermal dust emission from Planck HFI data using a sparse, parametric technique, A&A, 623, A21, 2019.
M. Irfan, J.Bobin, Sparse estimation of model-based diffuse thermal dust emission, MNRAS, vol. 474, issue 4, 2018.
M. Jiang, J.Bobin, J-L Starck, Joint Multichannel Deconvolution and Blind Source Separation, SIAM Imaging Science, 10(4), 2017.
E.Chapman, A.Bonaldi, G.Harker, V.Jelic, F.Abdalla, G.Bernardi, J.Bobin, F.Dulwich, B.Mort, M.Santos and J-L.Starck Cosmic dawn and Epoch of Reionization foreground removal with the SKA, accepted to the SKA science book ‘Advancing astrophysics with the Square Kilometre Array’, 2015.
E. Chapman, F. Abdalla, J.Bobin, J.L. Starck, G. Harker, V. Jelic, P. Labropoulos, S. Zaroubi, M. Brentjens, A. De Bruyn and L. Koopmanx, The scale of the problem: recovering images of reionization with GMCA, MNRAS, 459, 2013
A. Pujol, M.Kilbinger, F. Sureau, J.Bobin, A highly precise shape-noise-free shear bias estimator, A&A, 621, A2, 2018.
A. Pujol, F. Sureau, J.Bobin, M. Gentile, F. Courbin, M.Kilbinger, Shear measurement bias: dependencies on methods, simulation parameters and measured parameters, A&A, in revision, 2017.
A new look at X-ray multispectral images in astrophysics
A. Picquenot, F. Acero, J. Bobin, P. Maggi, J. Ballet, G.W. Pratt, A novel method for component separation of extended sources in X-ray astronomy, A&A 627, A139, 2019.
Applications of machine learning in astrophysics
M. Frontera-Pons, B. Moraes, F.Sureau, J.Bobin, F.Abdalla, Representation learning for automated spectroscopic redshift estimation, A&A, 625, 2019.
M. Frontera-Pons, F.Sureau, J.Bobin, E Le Floc’h, Unsupervised feature learning for galaxy SEDs with denoising autoencoders, A&A, 603, A60, 2017.
Applications in bio-medical signal processing
Applications in nuclear physics
C.Bobin, H.Paradis, J.Bobin, J.Bouchard, V.Lourenço, C.Thiam, R.André, L.Ferreux, A. de Vismes Ott, M. Thevenin, Spectral Unmixing Applied To Fast identification of gamma-emitting radionuclides using NaI(Tl) detectors, Applied Radiations and Isotopes, in press, 2020.
Applications in optical signal processing
J.Fade, E. Perrotin, J.Bobin, Two-pixel polarimetric camera by compressive sensing, Applied Optics, vol. 57, issue 7, 2017.
V. Studer, J. Bobin, M. Chahid, H. Mousavi, E. Candes, and M. Dahan, Compressive fluorescence microscopy for biological and hyperspectral imaging, PNAS 2012 109 (26).
Book chapter :
J.Bobin, J.-L. Starck, Y.Moudden, J. Fadili, Blind Source Separation: the Sparsity Revolution, Advances in Imaging and
Electron Physics, Vol. 152, p. 221-298 – Peter W. Hawkes Ed. – 2008.
Technical report :
S.Ben Hadj, J.Bobin, A. Woiselle, Local subspace projection-based anomaly detection for complex multi-spectral images, Technical report – CEA Saclay, 2015.
R.Lguensat, J. Bobin, F.Sureau, Non-linear optimization under sparsity constraint, Technical report – CEA Saclay, September 2014.
Q.Leone, E. LeFloch, J.Bobin, A new method for galaxy classification, an application to cluster detection, Technical report – CEA Saclay, July 2014.
J. Bobin, Y. Zheng, Multichannel data analysis via sparse/low rank matrix decomposition, Technical report – CEA Saclay, June 2011.
J. Bobin, J.-L. Starck, Compressed Sensing for Hershel, Technical report – CEA Saclay, September 2006.
PhD dissertation (in French):
HDR dissertation (in French):