R. Kwok and W. T. Johnson, Block adaptive quantization of Magellan SAR data, IEEE Transactions on Geoscience and Remote Sensing, vol.27, issue.4, pp.375-383, 1989.
DOI : 10.1109/36.29557

U. Benz, K. Strodl, and A. Moreira, A comparison of several algorithms for SAR raw data compression, IEEE Transactions on Geoscience and Remote Sensing, vol.33, issue.5, pp.1266-1276, 1995.
DOI : 10.1109/36.469491

V. Pascazio and G. Schirinzi, SAR raw data compression by subband coding, IEEE Transactions on Geoscience and Remote Sensing, vol.41, issue.5, pp.964-976, 2003.
DOI : 10.1109/TGRS.2003.811811

E. J. Candès, J. Romberg, and T. Tao, Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information, IEEE Transactions on Information Theory, vol.52, issue.2, pp.489-509, 2006.
DOI : 10.1109/TIT.2005.862083

D. L. Donoho, Compressed sensing, IEEE Transactions on Information Theory, vol.52, issue.4, pp.1289-1306, 2006.
DOI : 10.1109/TIT.2006.871582
URL : https://hal.archives-ouvertes.fr/inria-00369486

C. Müjdat and . Etin, Feature-enhanced synthetic aperture radar imaging, 2001.

I. Stojanovic, C. ¸. Müjdat, and W. C. Karl, Joint space aspect reconstruction of wide-angle SAR exploiting sparsity, Algorithms for Synthetic Aperture Radar Imagery XV, 2008.
DOI : 10.1117/12.786288

C. Lee, P. Potter, J. Schnitter, and . Ziniel, Sparse reconstruction for RADAR, Algorithms for Synthetic Aperture Radar Imagery XV, Proc. of SPIE, 2008.

M. Herman and T. Strohmer, Compressed sensing radar. Acoustics, Speech and Signal Processing, IEEE International Conference on, pp.1509-1512, 2008.

R. Baraniuk and P. Steeghs, Compressive radar imaging. Radar Conference, IEEE, pp.128-133, 2007.

S. Bhattacharya, T. Blumensath, B. Mulgrew, and M. Davies, Fast Encoding of Synthetic Aperture Radar Raw Data using Compressed Sensing, 2007 IEEE/SP 14th Workshop on Statistical Signal Processing, 2007.
DOI : 10.1109/SSP.2007.4301298

E. J. Candès and M. B. Wakin, An Introduction To Compressive Sampling, IEEE Signal Processing Magazine, vol.25, issue.2, pp.21-30, 2008.
DOI : 10.1109/MSP.2007.914731

E. Mike, T. Davies, and . Blumensath, Faster & greedier: algorithms for sparse reconstruction of large datasets, third IEEE International Symposium on Communications Control, and Signal Processing, 2008.

T. Blumensath and M. E. Davies, Stagewise weak gradient pursuits. Part I: Fundamentals and numerical studies, IEEE Transactions on Signal Processing, 2009.
DOI : 10.1109/tsp.2009.2025088
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.158.2535

T. Blumensath and M. E. Davies, Stagewise weak gradient pursuits. Part II: Theoretical properties, IEEE Transactions on Signal Processing, 2009.
DOI : 10.1109/tsp.2009.2025088
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.158.2535

D. Needell and J. A. Tropp, CoSaMP, Communications of the ACM, vol.53, issue.12, 2008.
DOI : 10.1145/1859204.1859229

Y. Tsaig and D. L. Donoho, Extensions of compressed sensing, Signal Processing, vol.86, issue.3, pp.549-571, 2006.
DOI : 10.1016/j.sigpro.2005.05.029