On the Optimality of the Backward Greedy Algorithm for the Subset Selection Problem, SIAM Journal on Matrix Analysis and Applications, vol.21, issue.3, pp.797-808, 2000. ,
DOI : 10.1137/S0895479898332928
Subspace Pursuit for Compressive Sensing: Closing the Gap Between Performance and Complexity, 2008. ,
Sparse Solution of Underdetermined Linear Equations, Stagewise Orthogonal Matching Pursuit, 2006. ,
Tomographic particle image velocimetry, Tomographic particle image velocimetry, pp.933-947, 2006. ,
DOI : 10.1007/s00348-006-0212-z
On the application of the global matched filter to DOA estimation with uniform circular arrays, IEEE Transactions on Signal Processing, vol.49, issue.4, pp.702-709, 2001. ,
DOI : 10.1109/78.912914
Algebraic reconstruction techniques (art) for threedimensional electron microscopy and x-ray photographie, pp.471-481, 1970. ,
Sparse signal reconstruction from limited data using FOCUSS: a re-weighted minimum norm algorithm, IEEE Transactions on Signal Processing, vol.45, issue.3, pp.45600-616, 1997. ,
DOI : 10.1109/78.558475
Bayesian Pursuit Algorithms, Proc. European Signal Processing Conference (EUSIPCO), 2010. ,
URL : https://hal.archives-ouvertes.fr/hal-00673801
Matching pursuits with time-frequency dictionaries, IEEE Transactions on Signal Processing, vol.41, issue.12, pp.3397-3415, 1993. ,
DOI : 10.1109/78.258082
Orthogonal matching pursuit: recursive function approximation with applications to wavelet decomposition, Proceedings of 27th Asilomar Conference on Signals, Systems and Computers, pp.40-44, 1993. ,
DOI : 10.1109/ACSSC.1993.342465
TomoPIV meets Compressed Sensing, Pure Math, Appl, vol.20, issue.12, pp.49-76, 2009. ,
DOI : 10.1063/1.3498196
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.182.4810
3D Tomography from Few Projections in Experimental Fluid Mechanics editor, Imaging Measurement Methods for Flow Analysis, of Notes on Numerical Fluid Mechanics and Multidisciplinary Design, pp.63-72, 2009. ,
On Sparsity Maximization in Tomographic Particle Image Reconstruction, Proceedings of the 30th DAGM symposium on Pattern Recognition, pp.294-303, 2008. ,
DOI : 10.1007/978-3-540-69321-5_30
Computing viewpoints that satisfy optical constraints, Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.399-406, 1992. ,
DOI : 10.1109/CVPR.1991.139678
Influence des paramètres de reconstruction sur la qualité des résultats de tomo-PIV, Congrès Francophone de Techniques Laser, CTFL, Vandoeuvre-lès- Nancy (14-17 septembre), 2010. ,
Bregman Iterative Algorithms for $\ell_1$-Minimization with Applications to Compressed Sensing, SIAM Journal on Imaging Sciences, vol.1, issue.1, pp.143-168, 2008. ,
DOI : 10.1137/070703983