J. A. Tropp, Greed is Good: Algorithmic Results for Sparse Approximation, IEEE Transactions on Information Theory, vol.50, issue.10, pp.2231-2242, 2004.
DOI : 10.1109/TIT.2004.834793
URL : http://authors.library.caltech.edu/9035/1/TROieeetit04a.pdf

D. L. Donoho, M. Elad, and V. Temlyakov, Stable recovery of sparse overcomplete representations in the presence of noise, IEEE Transactions on Information Theory, vol.52, issue.1, pp.6-18, 2006.
DOI : 10.1109/TIT.2005.860430

C. Dossal and S. Mallat, Sparse spike deconvolution with minimum scale, Proceedings of SPARS'05, 2005.

R. Gribonval and M. Nielsen, Beyond sparsity: Recovering structured representations by ${\ell}^1$ minimization and greedy algorithms, Advances in Computational Mathematics, vol.49, issue.6, pp.23-41, 2008.
DOI : 10.1007/s10444-005-9009-5
URL : https://hal.archives-ouvertes.fr/inria-00544767

E. Klann, M. Kuhn, D. A. Lorenz, P. Maass, and H. Thiele, Shrinkage versus deconvolution, Inverse Problems, vol.23, issue.5, pp.2231-2248, 2007.
DOI : 10.1088/0266-5611/23/5/025

F. Soulez, L. Denis, C. Fournier, E. Thiébaut, and C. Goepfert, Inverse-problem approach for particle digital holography: accurate location based on local optimization, Journal of the Optical Society of America A, vol.24, issue.4, pp.1164-1171, 2007.
DOI : 10.1364/JOSAA.24.001164

G. Davis, S. Mallat, and Z. Zhang, Adaptive time-frequency decompositions, SPIE Opt. Eng, vol.33, issue.7, pp.2183-2191, 1994.

Y. Pati, R. Rezaiifar, and P. Krishnaprasad, 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

S. Mallat, A Wavelet Tour of Signal Processing, 2009.

D. A. Lorenz and D. Trede, Greedy solution of ill-posed problems: Error bounds and exact inversion, 2009.
URL : https://hal.archives-ouvertes.fr/ujm-00430075

A. Bruckstein, M. Elad, and M. Zibulevsky, On the Uniqueness of Nonnegative Sparse Solutions to Underdetermined Systems of Equations, IEEE Transactions on Information Theory, vol.54, issue.11, pp.4813-4820, 2008.
DOI : 10.1109/TIT.2008.929920