J. Buckheit and D. L. Donoho, Wavelets and statistics, chapter Wavelab and reproducible research, 1995.
DOI : 10.1007/978-1-4612-2544-7_5

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.3.2982

S. S. Chen, Basis pursuit, 1996.

S. S. Chen, D. L. Donoho, and M. A. Saunders, Atomic Decomposition by Basis Pursuit, SIAM Journal on Scientific Computing, vol.20, issue.1, pp.33-61, 1999.
DOI : 10.1137/S1064827596304010

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.113.7694

S. S. Chen, D. L. Donoho, and M. A. Saunders, Atomic Decomposition by Basis Pursuit, SIAM Review, vol.43, issue.1, pp.129-159, 2001.
DOI : 10.1137/S003614450037906X

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.113.7694

X. Huo, Sparse image representation via combined transforms, 1999.

O. Levi, Multiscale geometric analysis of three-dimensional data, 2005.

A. G. Flesia, H. Hel-or, A. Averbuch, E. J. Candès, R. R. Coifman et al., Beyond wavelets, chapter Digital Implementation of ridgelet packets, 2002.

D. L. Donoho and A. G. Flesia, Beyond wavelets, chapter Digital ridgelet transform based on true ridge functions, 2002.
DOI : 10.1016/s1570-579x(03)80029-0

D. L. Donoho and X. Huo, BEAMLAB AND REPRODUCIBLE RESEARCH, Multiresolution and Information Processing, pp.391-414, 2004.
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. Walden, Fast slant stack: a notion of radon transform for data on a cartesian grid which is rapidly computable, algebraically exact, geometrically faithful, and invertible, 2001.

D. L. Donoho and X. Huo, Beamlet pyramids: a new form of multiresolution analysis suited for extracting lines, curves, and objects from very noisy image data, Wavelet Applications in Signal and Image Processing VIII, pp.434-444, 2000.
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D. L. Donoho and X. Huo, Beamlets and Multiscale Image Analysis, Springer Lecture Notes in Computational Science and Engineering, vol.20, pp.149-196, 2002.
DOI : 10.1007/978-3-642-56205-1_3

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.15.6858

D. L. Donoho and O. Levi, Modern Signal Processing, chapter Fast X-ray and beamlet transforms for three dimensional data, 2003.

D. L. Donoho, O. Levi, J. L. Starck, and V. J. Martinez, Multiscale geometric analysis for 3D catalogs, Astronomical Data Analysis II, pp.101-111, 2002.
DOI : 10.1117/12.461971

I. Rahman, Multiscale decomposition of manifold-valued data, Program in Scientific Computing and Computational Math, 2006.

I. Rahman, I. Drori, V. Stodden, D. L. Donoho, and P. Schroder, Multiscale representations for manifold-valued data. SIAM Multiscale Modeling and Simulation, pp.1201-1232, 2005.
DOI : 10.1137/050622729

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.135.899

V. Stodden, Model selection when the number of variables exceeds the number of observations, 2006.

J. Sweetkind-singer, Log-penalized linear regression, IEEE International Symposium on Information Theory, 2003. Proceedings., 2004.
DOI : 10.1109/ISIT.2003.1228301

Y. Tsaig, Sparse solution of underdetermined linear systems: algorithms and applications, 2007.

D. L. Donoho, Y. Tsaig, I. Drori, and J. Starck, Sparse Solution of Underdetermined Systems of Linear Equations by Stagewise Orthogonal Matching Pursuit, IEEE Transactions on Information Theory, vol.58, issue.2, 2006.
DOI : 10.1109/TIT.2011.2173241

D. L. Donoho and Y. Tsaig, Fast Solution of <formula formulatype="inline"><tex>$\ell _{1}$</tex> </formula>-Norm Minimization Problems When the Solution May Be Sparse, IEEE Transactions on Information Theory, vol.54, issue.11, pp.4789-4812, 2008.
DOI : 10.1109/TIT.2008.929958

D. Donoho and Y. Tsaig, Extensions of compressed sensing, Signal Processing, vol.86, issue.3, pp.549-571, 2006.

E. H. Hurowitz, I. Drori, V. C. Stodden, D. L. Donoho, and P. Brown, Virtual Northern Analysis of the Human Genome, PLoS ONE, vol.52, issue.5, 2007.
DOI : 10.1371/journal.pone.0000460.t006

M. Shahram, D. L. Donoho, and J. L. Stark, Multiscale representation for data on the sphere and applications to geopotential data, Wavelets XII, 2007.
DOI : 10.1117/12.735175

R. Gentleman and D. Lang, Statistical Analyses and Reproducible Research, Journal of Computational and Graphical Statistics, vol.16, issue.1, 2004.
DOI : 10.1198/106186007X178663

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.684.9629

V. Stodden, The scientific method in practice: reproducibility in the computational sciences MIT Sloan School Working Paper 4773-10, 2010.

D. L. Donoho, A. Maleki, I. Ur-rahman, M. Shahram, and V. Stodden, Reproducible Research in Computational Harmonic Analysis, Computing in Science & Engineering, vol.11, issue.1, pp.8-18, 2009.
DOI : 10.1109/MCSE.2009.15

V. Stodden, Trust your science? Open your data and code, Amstat News, 2011.