B. Borloz, Estimation, détection et classification par maximisation du rapport signal-` a-bruit : le filtre adapté stochastique sous contrainte, 2005.

H. L. , Van Trees, Detection, Estimation and Modulation Theory, Radar-Sonar Signal Processing and Gaussian Signals in Noise, 2001.

H. V. Poor, An Introduction to Signal Detection and Estimation, 1988.

T. Kailath and H. V. Poor, Detection of stochastic processes, IEEE Transactions on Information Theory, vol.44, issue.6, pp.2230-2259, 1998.
DOI : 10.1109/18.720538

A. Hero, Signal Detection and Classification, in 'The Digital Signal Processing Handbook, Series: Electrical Engineering Handbook, 1997.

J. F. Cavassilas and B. Xerri, Extension de la notion de filtre adapté. ContributionàContributionà la détection de signaux courts en présence de termes perturbateurs, Revue Traitement du Signal, vol.10, issue.3, pp.215-221, 1992.

P. P. Pokharel, U. Ozertem, D. Erdogmus, and J. C. , Recursive complex BSS via generalized eigendecomposition and application in image rejection for BPSK, Signal Processing, vol.88, issue.6, pp.1368-1381, 2008.
DOI : 10.1016/j.sigpro.2007.12.001

J. Yang, H. S. Xi, and F. , RLS-based adaptive algorithms for generalized eigen-decomposition, IEEE Transactions on Signal Processing, vol.54, issue.4, pp.1177-1188, 2006.
DOI : 10.1109/TSP.2005.863040

Y. Yamashita and H. Ogawa, Relative Karhunen-Loeve transform, IEEE Transactions on Signal Processing, vol.44, issue.2, pp.371-378, 1996.
DOI : 10.1109/78.485932

L. L. Scharf and B. Friedlander, Matched subspace detectors, IEEE Transactions on Signal Processing, vol.42, issue.8, pp.2146-2157, 1994.
DOI : 10.1109/78.301849

N. Mukund, R. S. Desai, and . Mangoubi, Robust Gaussian and Non-Gaussian Matched Subspace Detection, IEEE Trans. Signal Processing, vol.51, issue.12, pp.3115-3127, 2003.

N. Mukund, R. S. Desai, and . Mangoubi, Robust Subspace Learning and Detection in Laplacian Noise and Interference, IEEE Trans. Signal Processing, vol.55, issue.7, pp.3585-3595, 2007.

S. Kraut, L. L. Scharf, and L. T. Mcwhorter, Adaptive Subspace Detectors IEEE Trans. Signal Processing, vol.49, issue.1, pp.1-16, 2001.

S. Kraut and L. L. , The CFAR adaptive subspace detector is a scale-invariant GLRT, IEEE Transactions on Signal Processing, vol.47, issue.9, pp.2538-2541, 1999.
DOI : 10.1109/78.782198

L. L. Scharf and S. , Kraut Geometries invariances, and SNR interpretations of matched and adaptive subspace detectors Traitement du Signal, pp.527-534, 1998.

L. L. Scharf, S. Kraut, and L. Michael, McCloud A Review of Matched and Adaptive Subspace Detectors Proc. Symp. on Adaptive Systems for Signal Process. Commun. and Control, 2000.

L. L. Scharf and M. L. , McCloud Matched and Adaptive Subspace Detectors When Interference Dominates Noise Proc. Asilomar '00, 2000.

S. Verdu and H. V. Poor, Signal Selection for Robust Matched Filtering, IEEE Transactions on Communications, vol.31, issue.5, pp.667-670, 1983.
DOI : 10.1109/TCOM.1983.1095861

S. Verdu and H. V. Poor, Minimax Robust Discrete-Time Matched Filters, IEEE Transactions on Communications, vol.31, issue.2, pp.208-215, 1983.
DOI : 10.1109/TCOM.1983.1095790

J. G. Proakis, Digital Communications, 1995.

Y. C. Eldar and A. V. Oppenheim, Orthogonal matched filter detection, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221), 2001.
DOI : 10.1109/ICASSP.2001.940237

R. A. Horn and C. R. Johnson, Matrix analysis, 1999.

F. Cismondi, B. Xerri, C. Jauffret, J. Schlosser, and N. , Vignal and A. Durocher Analysis of SATIR Test for the Qualification of High Heat Flux Components: Defect Detection and Classification by Signal-to-Noise Ratio Maximization Physica Scripta, pp.213-217, 2007.

N. Juennard, C. Jauffret, and B. , Xerri Detection and Localization of Very High Energy Neutrinos by a Passive Underwater Acoustic Telescope Passive'08, IEEE OES, pp.14-17, 2008.

B. Xerri and B. , Borloz Detection by SNR maximization: application to the blind source separation problem, 5th International Conference On Independant Component Analysis and Blind Signal Separation, Grenade, 2004.

P. Stoica and M. , Maximum likelihood parameter and rank estimation in reduced-rank multivariate linear regressions, IEEE Transactions on Signal Processing, vol.44, issue.12, pp.3069-3078, 1996.
DOI : 10.1109/78.553480

Y. Hua and W. Liu, Generalized Karhunen-Loeve Transform, IEEE Signal Processing Lett, vol.5, pp.141-142, 1994.

L. L. , Scharf Statistical Signal Proces.: Detection, Estimation and Time Series Analysis Reading MA, 1991.