Orthogonal matching pursuit: Recursive function approximation with applications to wavelet decomposition, Proc. 27th Asilomar Conf. on Signals, Systems and Computers, vol.1, pp.40-44, 1993. ,
Orthogonal least squares methods and their application to non-linear system identification, Int. J. Control, vol.50, issue.5, pp.1873-1896, 1989. ,
Forward sequential algorithms for best basis selection, IEE Proc. Vision, Image and Signal Processing, vol.146, pp.235-244, 1999. ,
Optimized orthogonal matching pursuit approach, IEEE Signal Process. Lett, vol.9, issue.4, pp.137-140, 2002. ,
Stability and robustness of weak orthogonal matching pursuits, Recent advances in harmonic analysis and applications, vol.25, pp.395-405, 2013. ,
Sparse approximate solutions to linear systems, SIAM J. Comput, vol.24, issue.2, pp.227-234, 1995. ,
Exact sparse approximation problems via mixed-integer programming: Formulations and computational performance, IEEE Trans. Signal Process, vol.64, issue.6, pp.1405-1419, 2016. ,
URL : https://hal.archives-ouvertes.fr/hal-01254856
Regression shrinkage and selection via the Lasso, J. R. Statist. Soc. B, vol.58, issue.1, pp.267-288, 1996. ,
Fast solution of 1-norm minimization problems when the solution may be sparse, IEEE Trans. Inf. Theory, vol.54, issue.11, pp.4789-4812, 2008. ,
On the difference between Orthogonal Matching Pursuit and Orthogonal Least Squares, 2007. ,
Joint k-step analysis of orthogonal matching pursuit and orthogonal least squares, IEEE Trans. Inf. Theory, vol.59, issue.5, pp.3158-3174, 2013. ,
URL : https://hal.archives-ouvertes.fr/hal-00637003
Greed is good: Algorithmic results for sparse approximation, IEEE Trans. Inf. Theory, vol.50, issue.10, pp.2231-2242, 2004. ,
Exact recovery conditions for sparse representations with partial support information, IEEE Trans. Inf. Theory, vol.59, issue.11, pp.7509-7524, 2013. ,
URL : https://hal.archives-ouvertes.fr/hal-00907646
Coherence-based performance guarantees for estimating a sparse vector under random noise, IEEE Trans. Signal Process, vol.58, issue.10, pp.5030-5043, 2010. ,
URL : https://hal.archives-ouvertes.fr/inria-00567465
Orthogonal matching pursuit for sparse signal recovery with noise, IEEE Trans. Inf. Theory, vol.57, issue.7, pp.4680-4688, 2011. ,
Relaxed recovery conditions for OMP/OLS by exploiting both coherence and decay, IEEE Trans. Inf. Theory, vol.62, issue.1, pp.459-470, 2016. ,
URL : https://hal.archives-ouvertes.fr/hal-01058077
Analysis of orthogonal matching pursuit using the restricted isometry property, IEEE Trans. Inf. Theory, vol.56, issue.9, pp.4395-4401, 2010. ,
Improving the bound on the RIP constant in generalized orthogonal matching pursuit, IEEE Signal Process. Lett, vol.20, issue.11, pp.1074-1077, 2013. ,
Sufficient conditions for generalized orthogonal matching pursuit in noisy case, Signal Process, vol.108, pp.111-123, 2015. ,
A sharp condition for exact support recovery with orthogonal matching pursuit, IEEE Trans. Signal Process, vol.65, issue.6, pp.1370-1382, 2017. ,
Nearly optimal bounds for orthogonal least squares, IEEE Trans. Signal Process, vol.65, issue.20, pp.5347-5356, 2017. ,
Recovery of sparse signals using multiple orthogonal least squares, IEEE Trans. Signal Process, vol.65, issue.8, pp.2049-2062, 2017. ,
On the uniqueness of nonnegative sparse solutions to underdetermined systems of equation, IEEE Trans. Inf. Theory, vol.54, issue.11, pp.4813-4820, 2008. ,
Fast non-negative orthogonal matching pursuit, IEEE Signal Process. Lett, vol.22, issue.9, pp.1229-1233, 2015. ,
Greedy algorithms for nonnegativity-constrained simultaneous sparse recovery, Signal Process, vol.125, pp.274-289, 2016. ,
Non-negative orthogonal greedy algorithms, Research Report, 2019. ,
URL : https://hal.archives-ouvertes.fr/hal-02049424
Stable recovery of sparse overcomplete representations in the presence of noise, IEEE Trans. Inf. Theory, vol.52, issue.1, pp.6-18, 2006. ,
Fast non-negative orthogonal least squares, Proc. Eur. Sig. Proc. Conf, pp.479-483, 2015. ,
Optimally sparse representation in general (non-orthogonal) dictionaries via 1 minimization, Proc. Natl. Acad. Sci. USA, vol.100, pp.2197-2202, 2003. ,
Sparse unmixing of hyperspectral data, IEEE Trans. Geosci. Remote Sensing, vol.49, issue.6, pp.2014-2039, 2011. ,
Sparse non-negative matrix factorizations via alternating non-negativity-constrained least squares for microarray data analysis, Bioinformatics, vol.23, issue.12, pp.1495-1502, 2007. ,
Fast dictionnary-based approach for mass spectrometry data analysis, Proc. IEEE ICASSP, pp.816-820, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-01803419
A new approach for volume reconstruction in tomoPIV with the alternating direction method of multipliers, Measurement Science and Technology, vol.27, issue.10, p.104002, 2016. ,
URL : https://hal.archives-ouvertes.fr/hal-01419329
On sparse representations in arbitrary redundant bases, IEEE Trans. Inf. Theory, vol.50, issue.6, pp.1341-1344, 2004. ,
On polar polytopes and the recovery of sparse representations, IEEE Trans. Inf. Theory, vol.53, issue.9, pp.3188-3195, 2007. ,
URL : https://hal.archives-ouvertes.fr/hal-00839327
Subset selection in regression, 2002. ,
Least angle regression, Ann. Statist, vol.32, issue.2, pp.407-499, 2004. ,
Stable recovery of sparse signals using an oracle inequality, IEEE Trans. Inf. Theory, vol.56, issue.7, pp.3516-3522, 2010. ,
Robust recovery of positive stream of pulses, IEEE Trans. Signal Process, vol.65, issue.8, pp.2114-2122, 2017. ,
Average case recovery analysis of tomographic compressive sensing, Linear Alg. Appl, vol.441, pp.168-198, 2014. ,
A mathematical introduction to compressive sensing, Applied and Numerical Harmonic Analysis, 2013. ,