E. L. Lehmann and G. Casella, Theory of Point Estimation, 1998.

A. Renaux, P. Forster, E. Chaumette, and P. Larzabal, On the high-SNR conditional maximum-likelihood estimator full statistical characterization, IEEE Transactions on Signal Processing, vol.54, issue.12, pp.4840-4843, 2006.
URL : https://hal.archives-ouvertes.fr/halshs-00158264

G. Ginolhac and P. Forster, A procedure for efficient estimation of multiple parameters in some nonlinear cases, Signal Processing, vol.89, issue.4, pp.680-684, 2009.

Q. Ding and S. Kay, Maximum likelihood estimator under a misspecified model with high signal-to-noise ratio, IEEE Transactions on Signal Processing, vol.59, issue.8, pp.4012-4016, 2011.

H. Teicher, On the mixture of distributions, Annals of Mathematical Statistics, vol.31, issue.1, pp.55-73, 1960.

D. Kelker, Infinite divisibility and variance mixture of normal distributions, The Annals of Mathematical Statistics, vol.42, issue.2, pp.802-808, 1971.

K. Yao, A representation theorem and its applications to sphericallyinvariant random processes, IEEE Transactions on Information Theory, vol.19, issue.5, pp.600-608, 1973.

D. F. Andrews and C. L. Mallows, Scale mixtures of normal distributions, Journal of the Royal Statistical Society B, vol.36, issue.1, pp.99-102, 1974.

M. Rangaswamy, D. Weiner, and A. Öztürk, Non-Gaussian random vector identification using spherically invariant random processes, IEEE Transactions on Aerospace and Electronics Systems, vol.26, issue.1, pp.111-124, 1993.

M. Rangaswamy, D. Weiner, and A. Öztürk, Computer generation of correlated non-Gaussian radar clutter, IEEE Transactions on Aerospace and Electronics Systems, vol.31, issue.1, pp.106-1116, 1995.

L. Bombrun and J. Beaulieu, Fisher distribution for texture modeling of polarimetric SAR data, IEEE Geoscience and Remote Sensing Letters, vol.5, issue.3, pp.512-516, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00350055

J. Portilla, V. Strela, J. Wainwright, and R. P. Simoncelli, Image denoising using scale mixtures of Gaussians in the wavelet domain, IEEE Transactions on Image Processing, vol.12, issue.11, pp.1338-1351, 2003.

F. Shi and I. W. Selesnick, An elliptically contoured exponential mixture model for wavelet based image denoising, Applied and Computational Harmonic Analysis, vol.23, issue.1, pp.131-151, 2007.

K. T. Fang, S. Kotz, and K. W. Ng, Symmetric multivariate and related distributions. Monographs on statistics and probability 36, 1990.

K. Chu, Estimation and decision for linear systems with elliptical random processes, IEEE Transactions on Automatic Control, vol.18, issue.5, pp.499-505, 1973.

J. Goldman, Detection in the presence of spherically symmetric random vectors, IEEE Transactions on Information Theory, vol.22, issue.1, pp.52-59, 1976.

S. Bausson, F. Pascal, P. Forster, J. Ovarlez, and P. Larzabal, Firstand second-order moments of the normalized sample covariance matrix of spherically invariant random vectors, IEEE Signal Processing Letters, vol.14, issue.6, pp.425-428, 2007.

K. Todros and J. Tabrikian, Blind separation of independent sources using Gaussian mixture model, IEEE Transactions on Signal Processing, vol.55, issue.7, pp.3645-3658, 2007.

Y. Chitour and F. Pascal, Exact maximum likelihood estimates for SIRV covariance matrix: Existence and algorithm analysis, IEEE Transactions on Signal Processing, vol.56, issue.10, pp.4563-4573, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00353594

S. Zozor and C. Vignat, Some results on the denoising problem in the elliptically distributed context, IEEE Transactions on Signal Processing, vol.58, issue.1, pp.134-150, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00448934

S. Zozor and . Bruit, Non-linéaire et Information : quelques résultats. Habilitationà Diriger des Recherches, 2012.

G. Samorodnitsky and M. S. Taqqu, Stable Non-Gaussian Random Processes. Stochastic Models with infinite Variance, 1994.

I. J. Schoenberg, Metric spaces and completely monotone functions, Annals of Mathematics, vol.39, issue.4, pp.811-841, 1938.

Y. Kano, Consistency property of elliptic probability density functions, Journal of Multivariate Analysis, vol.51, issue.1, pp.139-147, 1994.

N. Mukhopadhyay, Probability and Statistical Inference, Statistics: textbooks and monographs". Marcel Dekker, vol.162, 2000.

J. J. Duistermaat and J. A. Kolk, Multidimensional Real Analysis I: Differentiation, 2004.

A. Dasgupta, Asymptotic Theory of Statistics and Probability, 2008.

O. Besson and Y. I. Abramovich, On the Fisher information matrix for multivariate elliptically contoured distributions, IEEE Signal Processing Letters, vol.20, issue.11, pp.1130-1133, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00867012

D. C. Rife and R. R. Boorstyn, Multiple tone parameter estimation from discrete-time observations, The Bell System Technical Journal, vol.55, issue.9, pp.1389-1410, 1976.

S. Kay, A fast and accurate single frequency estimator, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.37, issue.12, pp.1987-1990, 1989.

P. Stoica and A. Nehorai, Performance study of conditional and unconditional direction-of-arrival estimation, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.38, issue.10, pp.1783-1795, 1990.

D. Starer and A. Nehorai, Newton algorithms for conditional and unconditional maximum likelihood estimation of the parameters of exponential signals in noise, IEEE Transactions on Signal Processing, vol.40, issue.6, pp.1528-1534, 1992.

V. Ollier, M. N. Korso, R. Boyer, P. Larzabal, and M. Pesavento, Robust calibration of radio interferometers in non-gaussian environment, IEEE Transactions on Signal Processing, vol.65, issue.21, pp.5649-5660, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01572142

R. B. Agostino and M. A. Stephen, Goodness-of-Fit Techniques, 1986.