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

J. A. Tropp, Greed is good: Algorithmic results for sparse approximation, IEEE Trans. Inf. Theory, vol.50, issue.10, pp.2231-2242, 2004.

T. T. Cai, L. Wang, and G. Xu, Stable recovery of sparse signals using an oracle inequality, IEEE Trans. Inf. Theory, vol.56, issue.7, pp.3516-3522, 2010.

T. T. Nguyen, C. Soussen, J. Idier, and E. Djermoune, Sign preservation analysis of orthogonal greedy algorithms, Research Report, 2019.
URL : https://hal.archives-ouvertes.fr/hal-01971697

A. M. Bruckstein, M. Elad, and M. Zibulevsky, On the uniqueness of nonnegative sparse solutions to underdetermined systems of equation, IEEE Trans. Inf. Theory, vol.54, issue.11, pp.4813-4820, 2008.

T. T. Nguyen, J. Idier, C. Soussen, and E. Djermoune, Non-negative orthogonal greedy algorithms, 2019.
URL : https://hal.archives-ouvertes.fr/hal-02049424

S. Chen, S. A. Billings, and W. Luo, Orthogonal least squares methods and their application to non-linear system identification, Int. J. Control, vol.50, issue.5, pp.1873-1896, 1989.

M. Yaghoobi and M. E. Davies, Fast non-negative orthogonal least squares, Proc. Eur. Sig. Proc. Conf, pp.479-483, 2015.