J. M. Berthelot and J. Rhazi, Acoustic emission in carbon fibre composites, Composites Science and Technology, vol.37, issue.4, pp.411-428, 1990.
DOI : 10.1016/0266-3538(90)90012-T

R. Unnthorsson, T. P. Runarsson, and M. T. Jonsson, Acoustic emission based fatigue failure criterion for CFRP, International Journal of Fatigue, vol.30, issue.1, pp.11-20, 2008.
DOI : 10.1016/j.ijfatigue.2007.02.024

M. G. Sause and S. Horn, Simulation of Acoustic Emission in Planar Carbon Fiber Reinforced Plastic Specimens, Journal of Nondestructive Evaluation, vol.13, issue.6, pp.123-142, 2010.
DOI : 10.1007/s10921-010-0071-7

D. Gay, Matériaux composites, Hermes, 2005.

C. B. Scruby, An introduction to acoustic emission, Journal of Physics E: Scientific Instruments, vol.20, issue.8, p.946, 1987.
DOI : 10.1088/0022-3735/20/8/001

T. J. Holroyd, The Acoustic Emission & Ultrasonic Monitoring Handbook. Machine & systems condition monitoring series, 2000.

A. P. Mouritz, Non-destructive evaluation of damage accumulation. Fatigue in Composites, pp.242-266, 2003.

B. Harris, Fatigue in composites: science and technology of the fatigue response of fibre-reinforced plastics, 2003.

M. J. Lowe, G. Neau, and M. Deschamps, Properties of Guided Waves in Composite Plates, and Implications for NDE, AIP Conference Proceedings, pp.214-221, 2004.
DOI : 10.1063/1.1711627

D. Baleanu and H. Aydin, Advances in wavelet theory and their applications in engineering, physics and technology, 2012.
DOI : 10.5772/2668

A. Abbate, J. Koay, J. Frankel, S. C. Schroeder, and P. Das, Application of wavelet transform signal processor to ultrasound, Proceedings of IEEE Ultrasonics Symposium ULTSYM-94, pp.1147-1152, 1994.
DOI : 10.1109/ULTSYM.1994.401791

H. Kim and H. Melhem, Damage detection of structures by wavelet analysis, Engineering Structures, vol.26, issue.3, pp.347-362, 2004.
DOI : 10.1016/j.engstruct.2003.10.008

J. Lin and L. Qu, FEATURE EXTRACTION BASED ON MORLET WAVELET AND ITS APPLICATION FOR MECHANICAL FAULT DIAGNOSIS, Journal of Sound and Vibration, vol.234, issue.1, pp.135-148, 2000.
DOI : 10.1006/jsvi.2000.2864

Y. Wang, Z. He, and Y. Zi, Enhancement of signal denoising and multiple fault signatures detecting in rotating machinery using dual-tree complex wavelet transform, Mechanical Systems and Signal Processing, pp.119-137, 2010.
DOI : 10.1016/j.ymssp.2009.06.015

Y. Feng, S. Thanagasundram, and F. S. Schlindwein, Discrete wavelet-based thresholding study on acoustic emission signals to detect bearing defect on a rotating machine, The Thirteen International Congress of Sound and Vibration, 2006.

A. Satour, S. Montrésor, M. Bentahar, R. Elguerjouma, and F. Boubenider, Acoustic emission signal denoising to improve damage analysis in glass fibre-reinforced composites, Nondestructive Testing and Evaluation, vol.125, issue.1, pp.1-15, 2013.
DOI : 10.1016/0266-3538(95)00121-2

N. N. Hsu and F. R. Breckenridge, Characterization and calibration of acoustic emission sensors, Materials Evaluation, vol.39, issue.1, pp.60-68, 1981.

D. L. Donoho and J. M. Johnstone, Ideal spatial adaptation by wavelet shrinkage, Biometrika, vol.81, issue.3, pp.425-455, 1994.
DOI : 10.1093/biomet/81.3.425

D. L. Donoho, De-noising by soft-thresholding, IEEE Transactions on Information Theory, vol.41, issue.3, pp.613-627, 1995.
DOI : 10.1109/18.382009
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.161.9704

C. U. Grosse and M. Ohtsu, Acoustic emission testing, 2008.
DOI : 10.1007/978-3-540-69972-9