R. Baraniuk, Compressive sensing, Signal Processing Magazine, IEEE, vol.24, issue.4, pp.118-121, 2007.
URL : https://hal.archives-ouvertes.fr/hal-00452261

D. L. Donoho, Compressed sensing, IEEE Transactions on, vol.52, issue.4, pp.1289-1306, 2006.
URL : https://hal.archives-ouvertes.fr/inria-00369486

E. J. Candes and T. Tao, Decoding by linear programming, IEEE Transactions on, vol.51, issue.12, pp.4203-4215, 2005.

Y. C. Pati, R. Rezaiifar, Y. C. Pati, and P. S. Krishnaprasad, Orthogonal matching pursuit: Recursive function approximation with applications to wavelet decomposition, pp.40-44, 1993.

D. Needell and R. Vershynin, Signal recovery from incomplete and inaccurate measurements via regularized orthogonal matching pursuit, IEEE Journal, vol.4, issue.2, pp.310-316, 2010.

M. Rosenbaum and A. B. Tsybakov, Sparse recovery under matrix uncertainty, The Annals of Statistics, vol.38, issue.5, pp.2620-2651, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00533272

I. J. Cox, M. L. Miller, and A. L. Mckellips, Watermarking as communications with side information, Proceedings of the IEEE, vol.87, issue.7, pp.1127-1141, 1999.

C. Delpha, S. Hijazi, and R. Boyer, A compressive sensing based quantized watermarking scheme with statistical transparency constraint, Digital-Forensics and Watermarking, ser. Lecture Notes in Computer Science, pp.409-422, 2014.
URL : https://hal.archives-ouvertes.fr/hal-00862920

K. Hayashi, M. Nagahara, and T. Tanaka, A user's guide to compressed sensing for communications systems, IEICE transactions on communications, vol.96, issue.3, pp.685-712, 2013.

W. Bajwa, J. Haupt, A. Sayeed, and R. Nowak, Compressive wireless sensing, Proceedings of the 5th international conference on Information processing in sensor networks, pp.134-142, 2006.

Y. Chi, L. Scharf, A. Pezeshki, and A. Calderbank, Sensitivity to basis mismatch in compressed sensing, IEEE Transactions on, vol.59, issue.5, pp.2182-2195, 2011.

D. Chae, P. Sadeghi, and R. Kennedy, Effects of basis-mismatch in compressive sampling of continuous sinusoidal signals, Future Computer and Communication (ICFCC), 2010 2nd International Conference on, vol.2, pp.2-739, 2010.

S. Bernhardt, R. Boyer, B. Zhang, S. Marcos, and P. Larzabal, Performance analysis for sparse based biased estimator: Application to line spectra analysis, Sensor Array and Multichannel Signal Processing Workshop (SAM), pp.365-368, 2014.

M. Herman and T. Strohmer, High-resolution radar via compressed sensing, IEEE Transactions on, vol.57, issue.6, pp.2275-2284, 2009.

D. Malioutov, M. Cetin, and A. Willsky, A sparse signal reconstruction perspective for source localization with sensor arrays, IEEE Transactions on, vol.53, issue.8, pp.3010-3022, 2005.

H. Zhu, G. Leus, and G. Giannakis, Sparsity-cognizant total leastsquares for perturbed compressive sampling, IEEE Transactions on, vol.59, issue.5, pp.2002-2016, 2011.

R. T. Behrens and L. L. Scharf, Signal processing applications of oblique projection operators, IEEE Transactions on, vol.42, issue.6, pp.1413-1424, 1994.

H. Krim, P. Forster, and J. G. Proakis, Operator approach to performance analysis of root-music and root-min-norm, IEEE Transactions on, vol.40, issue.7, pp.1687-1696, 1992.

R. Boyer, Oblique projection for source estimation in a competitive environment: algorithm and statistical analysis, Signal Processing, vol.89, issue.12, pp.2547-2554, 2009.
URL : https://hal.archives-ouvertes.fr/hal-00575984

J. Wang, S. Kwon, and B. Shim, Generalized orthogonal matching pursuit, IEEE Transactions on, vol.60, issue.12, pp.6202-6216, 2012.

M. Vetterli, P. Marziliano, and T. Blu, Sampling signals with finite rate of innovation, IEEE Transactions on, vol.50, issue.6, pp.1417-1428, 2002.

Z. Ben-haim and Y. Eldar, A lower bound on the bayesian mse based on the optimal bias function, Information Theory, IEEE Transactions on, vol.55, pp.5179-5196, 2009.