Iterative hard thresholding for compressed sensing

Blumensath, 2008, Iterative thresholding for sparse approximations, J. Fourier Anal. Appl., 14, 629, 10.1007/s00041-008-9035-z

T. Blumensath, M. Davies, A simple, efficient and near optimal algorithm for compressed sensing, in: Proceedings of the Int. Conf. on Acoustics, Speech and Signal Processing, 2009

Candès, 2006, Quantitative robust uncertainty principles and optimally sparse decompositions, Found. Comput. Math., 6, 227, 10.1007/s10208-004-0162-x

Candès, 2006, Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information, IEEE Trans. Inform. Theory, 52, 489, 10.1109/TIT.2005.862083

Candès, 2006, Stable signal recovery from incomplete and inaccurate measurements, Comm. Pure Appl. Math., 59, 1207, 10.1002/cpa.20124

Dai, 2009, Subspace pursuit for compressive sensing signal reconstruction, IEEE Trans. Inform. Theory, 55, 2230, 10.1109/TIT.2009.2016006

Donoho, 2006, Compressed sensing, IEEE Trans. Inform. Theory, 52, 1289, 10.1109/TIT.2006.871582

Gorodnitsky, 1995, Neuromagnetic source imaging with focuss: A recursive weighted minimum norm algorithm, Neurophysiology, 95, 231

N.G. Kingsbury, T.H. Reeves, Iterative image coding with overcomplete complex wavelet transforms, in: Proc. Conf. on Visual Communications and Image Processing, 2003

Mallat, 1994, Adaptive time–frequency decompositions, SPIE J. Opt. Eng., 33, 2183, 10.1117/12.173207

Mendelson, 2007, Reconstruction and subgaussian operators in asymptotic geometric analysis, Geom. Funct. Anal., 17, 1248, 10.1007/s00039-007-0618-7

Mendelson, 2008, Uniform uncertainty principle for Bernoulli and subgaussian ensembles, Constr. Approx., 28, 277, 10.1007/s00365-007-9005-8

Needell, 2009, CoSaMP: Iterative signal recovery from incomplete and inaccurate samples, Appl. Comput. Harmon. Anal., 26, 301, 10.1016/j.acha.2008.07.002

Needell

Needell, 2009, Uniform uncertainty principle and signal recovery via regularized orthogonal matching pursuit, Found. Comput. Math., 9, 317, 10.1007/s10208-008-9031-3

Nyquist, 1928, Certain topics in telegraph transmission theory, Trans. A.I.E.E., 617, 10.1109/T-AIEE.1928.5055024

M. Rudelson, R. Vershynin, Sparse reconstruction by convex relaxation: Fourier and gaussian measurements, in: 40th Annual Conference on Information Sciences and Systems, 2006

Shannon, 1949

Tropp, 2006, Signal recovery from partial information via orthogonal matching pursuit, IEEE Trans. Inform. Theory, 53, 4655, 10.1109/TIT.2007.909108

Vetterli, 2002, Sampling signals with finite rate of innovation, IEEE Trans. Signal Process., 50, 1417, 10.1109/TSP.2002.1003065