S. M. Kay, Fundamentals of statistical signal processing: Detection theory, 1993.

Y. Cheng, X. Hua, H. Wang, Y. Qin, and X. Li, The Geometry of Signal Detection with Applications to Radar Signal Processing, Entropy, vol.46, issue.11, pp.18-381
DOI : 10.1049/el:19980582

P. Comon, Tensors : A brief introduction, IEEE Signal Processing Magazine, vol.31, issue.3, pp.44-53, 2014.
DOI : 10.1109/MSP.2014.2298533

URL : https://hal.archives-ouvertes.fr/hal-00923279

Z. Bai and J. W. Silverstein, Spectral analysis of large dimensional random matrices, 2010.
DOI : 10.1007/978-1-4419-0661-8

A. Ambainis, A. W. Harrow, and M. B. Hastings, Random Tensor Theory: Extending Random Matrix Theory to Mixtures of Random Product States, Communications in Mathematical Physics, vol.426, issue.3, pp.25-74, 2012.
DOI : 10.1016/0550-3213(94)90021-3

V. A. Marchenko and L. A. Pastur, Distribution of eigenvalues for some sets of random matrices, Mat. Sb, issue.114, pp.724-507, 1967.

A. Pajor and L. A. Pastur, On the limiting empirical measure of eigenvalues of the sum of rank one matrices with log-concave distribution, Studia Mathematica, vol.195, issue.1, pp.11-29, 2009.
DOI : 10.4064/sm195-1-2

T. M. Cover and J. A. Thomas, Elements of information theory, p.2012

R. Boyer and F. Nielsen, Information geometry metric for random signal detection in large random sensing systems, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), p.2017
DOI : 10.1109/ICASSP.2017.7953002

URL : https://hal.archives-ouvertes.fr/hal-01416198

F. Nielsen, An Information-Geometric Characterization of Chernoff Information, IEEE Signal Processing Letters, vol.20, issue.3, pp.269-272, 2013.
DOI : 10.1109/LSP.2013.2243726

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.353.3940

A. Cichocki, D. Mandic, L. De-lathauwer, G. Zhou, Q. Zhao et al., Tensor Decompositions for Signal Processing Applications: From two-way to multiway component analysis, IEEE Signal Processing Magazine, vol.32, issue.2, pp.145-163, 2015.
DOI : 10.1109/MSP.2013.2297439

URL : http://arxiv.org/abs/1403.4462

S. P. Chepuri and G. Leus, Sparse Sensing for Distributed Detection, IEEE Transactions on Signal Processing, vol.64, issue.6, pp.1446-1460, 2015.
DOI : 10.1109/TSP.2015.2491890

G. Tang and A. Nehorai, Performance Analysis for Sparse Support Recovery, IEEE Transactions on Information Theory, vol.56, issue.3, pp.1383-1399, 2010.
DOI : 10.1109/TIT.2009.2039039

URL : http://arxiv.org/abs/0908.0744

R. Boyer and C. Delpha, Relative-entropy based beamforming for secret key transmission, 2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop (SAM), 2012.
DOI : 10.1109/SAM.2012.6250485

URL : https://hal.archives-ouvertes.fr/hal-00724875

N. D. Tran, R. Boyer, S. Marcos, and P. Larzabal, Angular Resolution Limit for array processing: Estimation and information theory approaches, European Signal Processing Conference (EUSIPCO), 2012.
URL : https://hal.archives-ouvertes.fr/hal-00776403

R. A. Harshman, Foundations of the PARAFAC procedure: Models and conditions for an ?explanatory? multi-modal factor analysis, UCLA Working Papers Phon, vol.16, pp.1-84, 1970.

S. Sinanovic and D. H. Johnson, Toward a theory of information processing, 2000 IEEE International Symposium on Information Theory (Cat. No.00CH37060), pp.1326-1344, 2007.
DOI : 10.1109/ISIT.2000.866791