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This paper treats the problem of minimizing a general continuously differentiable function subject to sparsity constraints.
A practical algorithm for the determination of phase from image and diffraction plane pictures
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J. R. Fienup · 1982
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Sparse signal reconstruction from limited data using FOCUSS: A re-weighted minimum norm algorithm
I. F. Gorodnitsky and B. D. Rao · 1997
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A Wavelet Tour of Signal Processing: The Sparse Way
S. Mallat · 2008
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Gradient-based algorithms with applications to signal recovery problems
A. Beck and M Teboulle · 2010
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Normalised iterative hard thresholding; guaranteed stability and performance
T. Blumensath and M. E. Davies · 2010
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Computational methods for sparse solution of linear inverse problems
J. Tropp and S. J. Wright · 2010
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Sparsity-based sub-wavelength imaging with partially spatially incoherent light via quadratic compressed sensing
Y. Shechtman, Y. C. Eldar, A. Szameit, and M. Segev · 2011
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Compressed Sensing: Theory and Applications
Y. C. Eldar M. Davenport, M. Duarte and G. Kutyniok · 2012
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Compressed sensing
D. L. Donoho · 2006
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Iterative thresholding for sparse approximations
T. Blumensath and M. E. Davies · 2008
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Sparse optimization with least-squares constraints
E. V. D. Berg and M. P. Friedlander
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Sparsity-based single-shot sub-wavelength coherent diffractive imaging
A. Szameit et. al
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Compressed Sensing: Theory and Applications
R. Vershynin · 2012
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