M. Abramowitz and I. A. Stegun, Handbook of Mathematical Functions, American Journal of Physics, vol.34, issue.2, 1965.
DOI : 10.1119/1.1972842

R. S. Anderssen and P. Bloomfield, Numerical differentiation procedures for non-exact data, Numerische Mathematik, vol.55, issue.4, pp.157-182, 1974.
DOI : 10.1007/BF01436965

Y. Bachalany, S. Riachy, M. Mboup, and J. Richard, Diffrentiation numérique multivariable 2 : projection orthogonale et filtrage rif, 2010.

J. Cullum, Numerical differenciation and regularization, SIAM J. on numerical analysis, vol.8, issue.2, 1971.

S. Diop, J. W. Grizzle, and F. Chaplais, On numerical differentiation algorithms for nonlinear estimation, Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187), 2000.
DOI : 10.1109/CDC.2000.912005

D. L. Donoho, Compressed sensing, IEEE Transactions on Information Theory, vol.52, issue.4, pp.1289-1306, 2006.
DOI : 10.1109/TIT.2006.871582
URL : https://hal.archives-ouvertes.fr/inria-00369486

M. Fliess and C. Join, Systematic risk analysis: first steps towards a new definition of beta. Cognitive Systems with Interactive Sensors, 2009.
URL : https://hal.archives-ouvertes.fr/inria-00425077

M. Fliess and H. Sira-ramirez, An algebraic framework for linear identification, ESAIM: Control, Optimisation and Calculus of Variations, vol.9, pp.151-168, 2003.
DOI : 10.1051/cocv:2003008

S. R. Ghorpade and B. V. Limaye, A course in multivariable calculus and analysis, 2010.
DOI : 10.1007/978-1-4419-1621-1

J. Herrmann and G. Hennenfent, Non-parametric seismic data recovery with curvelet frames, Geophysical Journal International, vol.173, issue.1, pp.233-248, 2008.
DOI : 10.1111/j.1365-246X.2007.03698.x

T. Hoppe, T. Derose, J. Duchamp, W. Mcdonald, and . Stuetzle, Surface reconstruction from unorganized points. Int. conf. on computer graphics and interative techniques, pp.71-78, 1992.
DOI : 10.1145/133994.134011
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.153.4735

S. Ibrir and S. Diop, A numerical procedure for filtering and efficient high-order signal differenciation, Int. J. Appl. Math. Compt. Sci, vol.14, pp.201-208, 2004.

A. Levant, Higher-order sliding modes, differentiation and output-feedback control, International Journal of Control, vol.76, issue.9-10, pp.924-941, 2003.
DOI : 10.1080/0020717031000099029

M. Mboup, Parameter estimation for signals described by differential equations, Applicable Analysis, vol.26, issue.1, pp.29-52, 2009.
DOI : 10.1109/MED.2008.4602161

M. Mboup, C. Join, and M. Fliess, A revised look at numerical differentiation with an application to nonlinear feedback control. 15 th Med. conf. on control and automation, 2007.
URL : https://hal.archives-ouvertes.fr/inria-00142588

M. Mboup, C. Join, and M. Fliess, Numerical differentiation with annihilators in noisy environment, Numerical Algorithms, vol.14, issue.12, pp.439-457, 2009.
DOI : 10.1007/s11075-008-9236-1
URL : https://hal.archives-ouvertes.fr/inria-00319240

S. K. Rangarajana and S. P. Purushothaman, Lanczos generalized derivative for higher orders. The Int, J. of Robotics Research, vol.177, pp.357-755, 2009.

S. Riachy, Y. Bachalany, M. Mboup, and J. Richard, An algebraic method for multi-dimensional derivative estimation, 2008 16th Mediterranean Conference on Control and Automation, 2008.
DOI : 10.1109/MED.2008.4602167
URL : https://hal.archives-ouvertes.fr/inria-00275461

M. Schwager, D. Rus, and J. Slotine, Decentralized, Adaptive Coverage Control for Networked Robots, The International Journal of Robotics Research, vol.51, issue.7, pp.357-375, 2009.
DOI : 10.1177/0278364908100177