I. F. Akyildiz, S. Mohanty, W. Lee, and M. C. Vuran, NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey, Computer Networks, vol.50, issue.13, pp.2127-2159, 2006.
DOI : 10.1016/j.comnet.2006.05.001

F. R. Hampel, The Influence Curve and its Role in Robust Estimation, Journal of the American Statistical Association, vol.15, issue.4, pp.383-393, 1974.
DOI : 10.1214/aoms/1177730385

P. J. Rousseeuw and C. Croux, Alternatives to the Median Absolute Deviation, Journal of the American Statistical Association, vol.69, issue.424, pp.1273-1283, 1993.
DOI : 10.1080/01621459.1984.10477105

P. J. Huber and E. M. Ronchetti, Robust Statistics, second edition, 2009.

F. Socheleau, D. Pastor, and A. Aissa-el-bey, Robust Statistics Based Noise Variance Estimation: Application to Wideband Interception of Noncooperative Communications, IEEE Transactions on Aerospace and Electronic Systems, vol.47, issue.1, 2011.
DOI : 10.1109/TAES.2011.5705706
URL : https://hal.archives-ouvertes.fr/hal-00632791

F. Socheleau, D. Pastor, and A. Aissa-el-bey, A sparse model for robust noise variance estimation and application to wideband CES interception Lab-STICC UMR CNRS 3192 -technologies de l'information, de la communication et de la connaissance, SC -Dépt. Signal et Communications (Institut Télécom-Télécom Bretagne), 2009.

D. Pastor, A theoretical result for processing signals that have unknown distributions and priors in white Gaussian noise, Computational Statistics & Data Analysis, vol.52, issue.6, pp.3167-3186, 2008.
DOI : 10.1016/j.csda.2007.10.011

D. Pastor and A. Amehraye, Algorithms and Applications for Estimating the Standard Deviation of AWGN when Observations are not Signal-Free, Journal of Computers, vol.2, issue.7, 2007.
DOI : 10.4304/jcp.2.7.1-10

G. Mercier, A. M. Atto, and D. Pastor, Detection threshold for non-parametric estimation, Signal, Image and Video Processing, pp.207-223, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00732333

D. Pastor and A. M. Atto, Wavelet shrinkage: from sparsity and robust testing to smooth adaptation, To appear in Fractals and Related Fields, 2010.

D. Pastor, R. Gay, and A. Gronenboom, A sharp upper bound for the probability of error of the likelihood ratio test for detecting signals in white Gaussian noise, IEEE Transactions on Information Theory, vol.48, issue.1, pp.228-238, 2002.
DOI : 10.1109/18.971751

M. Abramowitz and I. Stegun, Handbook of Mathematical Functions. Ninth printing, 1972.

I. S. Gradshteyn and I. M. Ryzhik, Table of integrals, series and products, 2007.

H. V. Poor, An Introduction to Signal Detection and Estimation, 1994.
DOI : 10.1007/978-1-4757-2341-0

D. L. Donoho, P. J. Huber, A. Festschrift-for, and E. L. Lehmann, The notion of breakdown point, pp.157-184, 1983.

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

I. M. Johnstone, Wavelets and the theory of non-parametric function estimation, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol.357, issue.1760, pp.2475-2493, 1999.
DOI : 10.1098/rsta.1999.0443

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

S. Mallat, A wavelet tour of signal processing, second edition, 1999.