[1] E. van den Berg and M. P. Friedlander. In pursuit of a root. Technical Report TR-2007-19, Department of Computer Science, University of British Columbia, June 2007. [ bib | .html ]
[2] E. van den Berg and M. P. Friedlander. SPGL1: A solver for large-scale sparse reconstruction, June 2007. [ bib | http ]
[3] J. Buckheit and D. L. Donoho. Wavelets and Statistics, chapter Wavelab and reproducible research. Springer-Verlag, Berlin, New York, 1995. [ bib | .html ]
[4] E. J. Candés and J. Romberg. Practical signal recovery from random projections. In Wavelet Applications in Signal and Image Processing XI, Proc. SPIE Conf. 5914., 2004. [ bib ]
[5] E. J. Candès and J. Romberg. Sparsity and incoherence in compressive sampling. November 2006. [ bib | .pdf ]
[6] E. Candès and J. Romberg. L1-magic. http://www.l1-magic.org/, 2007. [ bib ]
[7] E. J. Candés, J. Romberg, and T. Tao. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information. IEEE Trans. Info. Theory, 52(2):489-509, February 2006. [ bib ]
[8] S. S. Chen, D. L. Donoho, and M. A. Saunders. Atomic decomposition by basis pursuit. SIAM J. Sci. Comput., 20(1):33-61, 1998. [ bib | .html ]
[9] D. L. Donoho and I. M. Johnstone. Ideal spatial adaptation by wavelet shrinkage. Biometrika, 81(3):425-455, 1994. [ bib | .html ]
[10] C. Dossal and S. Mallat. Sparse spike deconvolution with minimum scale. In Proceedings of Signal Processing with Adaptive Sparse Structured Representations, pages 123-126, Rennes, France, November 2005. [ bib | .pdf ]
[11] Database of Creative Commons licensed sounds, 2007. [ bib | http ]
[12] Jeffrey A. Fessler and Bradley P. Sutton. Nonuniform fast fourier transforms using min-max interpolation. IEEE Trans. Sig. Proc., 51(2):560-574, 2003. [ bib | http ]
[13] M. Figueiredo, R. Nowak, and S. J. Wright. Gradient projection for sparse reconstruction: Application to compressed sensing and other inverse problems, February 2007. To appear in IEEE Trans. on Selected Topics in Signal Processing. [ bib | http ]
[14] G. Hennenfent and F. J. Herrmann. Application of stable signal recovery to seismic interpolation. In SEG International Exposition and 76th Annual Meeting, 2006. [ bib | .pdf ]
[15] G. Hennenfent and F. J. Herrmann. Sparseness-constrained data continuation with frames: Applications to missing traces and aliased signals in 2/3-D. In SEG International Exposition and 75th Annual Meeting, 2005. [ bib | .pdf ]
[16] G. Hennenfent and F. J. Herrmann. Simply denoise: wavefield reconstruction via coarse nonuniform sampling. Technical report, UBC Earth & Ocean Sciences, August 2007. [ bib ]
[17] G. Hennenfent and F. J. Herrmann. Random sampling: new insights into the reconstruction of coarsely-sampled wavefields. In SEG International Exposition and 77th Annual Meeting, 2007. [ bib | .pdf ]
[18] G. Hennenfent and F. J. Herrmann. Irregular sampling: from aliasing to noise. In EAGE 69th Conference & Exhibition, 2007. [ bib | .pdf ]
[19] F. J. Herrmann and G. Hennenfent. Non-parametric seismic data recovery with curvelet frames. Technical report, UBC Earth & Ocean Sciences Department, January 2007. TR-2007-1. [ bib | .pdf ]
[20] M. Lustig, D. L. Donoho, and J. M. Pauly. Sparse MRI: The application of compressed sensing for rapid MR imaging. To appear in Magnetic Resonance in Medicine, 2007. [ bib ]
[21] M. Lustig, D. L. Donoho, and J. M. Pauly. Sparse MRI, 2007. [ bib | .html ]
[22] D. Maltoni, D. Maio, A. K. Jain, and S. Prabhakar. Handbook of Fingerprint Recognition. New York, 2003. [ bib | http ]
[23] D. Takhar, J. N. Laska, M. Wakin, M. Duarte, D. Baron, S. Sarvotham, K. K. Kelly, and R. G. Baraniuk. A new camera architecture based on optical-domain compression. In Proceedings of the IS&T/SPIE Symposium on Electronic Imaging: Computational Imaging, volume 6065, January 2006. [ bib ]
[24] Y. Tsaig and D. L. Donoho. Extensions of compressed sensing. Signal Process., 86(3):549-571, 2006. [ bib | DOI ]