Fetching the paper…
Reading the bibliography…
Given a linear system in a real or complex domain, linear regression aims to recover the model parameters from a set of observations.
The question of phase retrieval in optics
A. Walther · 1963
Earlier work this paper cites.
Ridge regression: Biased estimation for nonorthogonal problems
A. Hoerl and R. Kennard · 1970
Earlier work this paper cites.
A practical algorithm for the determination of phase from image and diffraction plane pictures
R. Gerchberg and W. Saxton · 1972
Earlier work this paper cites.
Source reconstruction from the modulus of the correlation function: a practical approach to the phase problem of optical coherence theory
D. Kohler and L. Mandel · 1973
Earlier work this paper cites.
Phase retrieval from modulus data
R. Gonsalves · 1976
Earlier work this paper cites.
Phase retrieval algorithms: a comparison
J. Fienup · 1982
Earlier work this paper cites.
Phase retrieval and image reconstruction for astronomy
J. Dainty and J. Fienup · 1987
Earlier work this paper cites.
Reconstruction of a complex-valued object from the modulus of its Fourier transform using a support constraint
J. Fienup · 1987
Earlier work this paper cites.
Phase retrieval in crystallography and optics
R. Millane · 1990
Earlier work this paper cites.
Regression shrinkage and selection via the lasso
R. Tibsharani · 1996
Earlier work this paper cites.
Atomic decomposition by basis pursuit
S. Chen, D. Donoho, and M. Saunders · 1998
Cited alongside, same era.
Optimally sparse representation in general (nonorthogonal) dictionaries via l-minimization
David L. Donoho and Michael Elad · 2003
Cited alongside, same era.
Greed is good: Algorithmic results for sparse approximation
J. Tropp · 2004
Cited alongside, same era.
On signal reconstruction without phase
R. Balan, P. Casazza, and D. Edidin · 2006
Cited alongside, same era.
Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information
E. J. Candès, J. Romberg, and T. Tao · 2006
Cited alongside, same era.
Compressed sensing
D. Donoho · 2006
Cited alongside, same era.
The restricted isometry property and its implications for compressed sensing
E. J. Candès · 2008
Later among the works it cites.
An introduction to compressive sampling
E. J. Candès and M. Wakin · 2008
Later among the works it cites.
A fast iterative shrinkage-thresholding algorithm for linear inverse problems
A. Beck and M. Teboulle · 2009
Later among the works it cites.
From sparse solutions of systems of equations to sparse modeling of signals and images
A. Bruckstein, D. Donoho, and M. Elad · 2009
Later among the works it cites.
On the performance of algorithms for the minimization of ℓ 1 \ell_{1} -penalized functionals
I. Loris · 2009
Later among the works it cites.
Array imaging using intensity-only measurements
A. Chai, M. Moscoso, and G. Papanicolaou · 2010
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
A direct formulation for Sparse PCA using semidefinite programming
A. d’Aspremont, L. El Ghaoui, M. Jordan, and G. Lanckriet · 2007
Cited alongside, same era.
Phase retrieval and saddle-point optimization
S. Marchesini · 2007
Cited alongside, same era.
Compressive phase retrieval
M. Moravec, J. Romberg, and R. Baraniuk · 2007
Cited alongside, same era.
Combining geometry and combinatorics: A unified approach to sparse signal recovery
R. Berinde, A.C. Gilbert, P. Indyk, H. Karloff, and M.J. Strauss · 2008
Cited alongside, same era.
Phase retrieval via matrix completion
E. J. Candès, Y. Eldar, T. Strohmer, and V. Voroninski
Cited in the paper.
Robust Principal Component Analysis?
E. J. Candès, X. Li, Y. Ma, and J. Wright
Cited in the paper.
CVX: Matlab software for disciplined convex programming, version 1.21
M. Grant and S. Boyd · 2010
Later among the works it cites.
Guaranteed minimum-rank solutions of linear matrix equations via nuclear norm minimization
B. Recht, M. Fazel, and P Parrilo · 2010
Later among the works it cites.
Fast ℓ 1 \ell_{1} -minimization algorithms and an application in robust face recognition: A review
A. Yang, A. Ganesh, Y. Ma, and S. Sastry · 2010
Later among the works it cites.
Informative feature selection for object recognition via sparse PCA
N. Naikal, A. Yang, and S. Sastry · 2011
Closest in time.