M. F. Duarte, M. A. Davenport, D. Takhar, J. N. Laska, T. Sun et al., Single-pixel imaging via compressive sampling, IEEE signal processing magazine, vol.25, issue.2, pp.83-91, 2008.

D. Takhar, J. N. Laska, M. B. Wakin, M. F. Duarte, D. Baron et al., A new compressive imaging camera architecture using optical-domain compression, Electronic Imaging 2006. International Society for Optics and Photonics, pp.606-509, 2006.

M. B. Wakin, J. N. Laska, M. F. Duarte, D. Baron, S. Sarvotham et al., An architecture for compressive imaging, Image Processing, pp.1273-1276, 2006.

M. Wakin, J. N. Laska, M. F. Duarte, D. Baron, S. Sarvotham et al., Compressive imaging for video representation and coding, Picture Coding Symposium, vol.1, p.13, 2006.

J. Romberg, Imaging via compressive sampling [introduction to compressive sampling and recovery via convex programming], IEEE Signal Processing Magazine, vol.25, issue.2, pp.14-20, 2008.

E. Candès, J. Romberg, and T. Tao, Stable signal recovery from incomplete and inaccurate measurements, Communications on pure and applied mathematics, vol.59, issue.8, pp.1207-1223, 2006.

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

E. Candes and J. Romberg, Sparsity and incoherence in compressive sampling, Inverse problems, vol.23, issue.3, p.969, 2007.

J. Romberg, Compressive sensing by random convolution, SIAM Journal on Imaging Sciences, vol.2, issue.4, pp.1098-1128, 2009.

W. U. Bajwa, J. D. Haupt, G. M. Raz, S. J. Wright, and R. D. Nowak, Toeplitz-structured compressed sensing matrices, Statistical Signal Processing, pp.294-298, 2007.

H. Rauhut, J. Romberg, and J. A. Tropp, Restricted isometries for partial random circulant matrices, Applied and Computational Harmonic Analysis, vol.32, issue.2, pp.242-254, 2012.

H. Rauhut, Circulant and toeplitz matrices in compressed sensing, 2009.
URL : https://hal.archives-ouvertes.fr/inria-00369580

W. Yin, S. Morgan, J. Yang, and Y. Zhang, Practical compressive sensing with toeplitz and circulant matrices, Visual Communications and Image Processing 2010. International Society for Optics and Photonics, pp.77-440, 2010.

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

M. Elad, Optimized projections for compressed sensing, IEEE Transactions on, vol.55, issue.12, pp.5695-5702, 2007.

J. M. Duarte-carvajalino and G. Sapiro, Learning to sense sparse signals: Simultaneous sensing matrix and sparsifying dictionary optimization, IEEE Transactions on, vol.18, issue.7, pp.1395-1408, 2009.

Y. Xu, W. Yin, and S. Osher, Learning circulant sensing kernels, DTIC Document, Tech. Rep, 2014.

M. Pereira, L. Lovisolo, E. Silva, and M. De-campos, On the design of maximally incoherent sensing matrices for compressed sensing using orthogonal bases and its extension for biorthogonal bases case, Digital Signal Processing, vol.27, pp.12-22, 2014.

Z. Guo and S. Osher, Template Matching via L1 Minimization and Its Application to Hyperspectral Data, Inverse Problems and Imaging, vol.5, issue.1, pp.19-35, 2011.

S. Rousseau, D. Helbert, P. Carré, and J. Blanc-talon, Compressive pattern matching on multispectral data, IEEE Transactions on, vol.52, issue.12, 2014.
URL : https://hal.archives-ouvertes.fr/hal-00959680

. Available,

S. Rousseau, D. Helbert, P. Carré, and J. Blanc-talon, Compressive template matching on multispectral data, International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2013.
URL : https://hal.archives-ouvertes.fr/hal-00798439

A. Moshtaghpour, L. Jacques, V. Cambareri, K. Degraux, and C. Vleeschouwer, Consistent basis pursuit for signal and matrix estimates in quantized compressed sensing, IEEE signal processing letters, vol.23, issue.1, pp.25-29, 2016.

S. Dirksen, H. C. Jung, and H. Rauhut, One-bit compressed sensing with partial gaussian circulant matrices, 2017.

Y. Yu, J. Jin, F. Liu, and S. Crozier, Multidimensional compressed sensing mri using tensor decomposition-based sparsifying transform, PloS one, vol.9, issue.6, p.98441, 2014.

K. Arai, C. Belthangady, H. Zhang, N. Bar-gill, S. Devience et al., Fourier magnetic imaging with nanoscale resolution and compressed sensing speed-up using electronic spins in diamond, Nature nanotechnology, vol.10, issue.10, p.859, 2015.