Nonlinear basis pursuit
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Allen Y. Yang | Henrik Ohlsson | S. Shankar Sastry | Roy Dong | S. Sastry | Henrik Ohlsson | A. Yang | Roy Dong
[1] Yonina C. Eldar,et al. Phase Retrieval via Matrix Completion , 2011, SIAM Rev..
[2] S. Marchesini. Ab Initio Undersampled Phase Retrieval , 2008, Microscopy and Microanalysis.
[3] Yonina C. Eldar,et al. Sparsity-Based Single-Shot Sub-Wavelength Coherent Diffractive Imaging , 2011 .
[4] Sundeep Rangan,et al. Compressive phase retrieval via generalized approximate message passing , 2012, Allerton Conference.
[5] Gitta Kutyniok,et al. 1 . 2 Sparsity : A Reasonable Assumption ? , 2012 .
[6] Babak Hassibi,et al. Recovery of sparse 1-D signals from the magnitudes of their Fourier transform , 2012, 2012 IEEE International Symposium on Information Theory Proceedings.
[7] Dimitri P. Bertsekas,et al. Nonlinear Programming , 1995 .
[8] Michel Verhaegen,et al. Quadratic Basis Pursuit , 2013, 1301.7002.
[9] Olgica Milenkovic,et al. Subspace Pursuit for Compressive Sensing Signal Reconstruction , 2008, IEEE Transactions on Information Theory.
[10] David P. Williamson,et al. Improved approximation algorithms for maximum cut and satisfiability problems using semidefinite programming , 1995, JACM.
[11] Yonina C. Eldar,et al. Sparsity Based Sub-wavelength Imaging with Partially Incoherent Light via Quadratic Compressed Sensing References and Links , 2022 .
[12] Emmanuel J. Candès,et al. PhaseLift: Exact and Stable Signal Recovery from Magnitude Measurements via Convex Programming , 2011, ArXiv.
[13] E.J. Candes. Compressive Sampling , 2022 .
[14] Deanna Needell,et al. CoSaMP: Iterative signal recovery from incomplete and inaccurate samples , 2008, ArXiv.
[15] LianLin Li,et al. An Iteratively Reweighted Algorithm for Sparse Reconstruction of Subsurface Flow Properties from Nonlinear Dynamic Data , 2009, ArXiv.
[16] Michael A. Saunders,et al. Atomic Decomposition by Basis Pursuit , 1998, SIAM J. Sci. Comput..
[17] S. Sastry,et al. Compressive Phase Retrieval From Squared Output Measurements Via Semidefinite Programming , 2011, 1111.6323.
[18] Y. Nesterov. Semidefinite relaxation and nonconvex quadratic optimization , 1998 .
[19] John N. Tsitsiklis,et al. Parallel and distributed computation , 1989 .
[20] Stephen P. Boyd,et al. A rank minimization heuristic with application to minimum order system approximation , 2001, Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148).
[21] Alexander Schrijver,et al. Cones of Matrices and Set-Functions and 0-1 Optimization , 1991, SIAM J. Optim..
[22] Stephen P. Boyd,et al. Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers , 2011, Found. Trends Mach. Learn..
[23] Richard G. Baraniuk,et al. Compressive phase retrieval , 2007, SPIE Optical Engineering + Applications.
[24] S. Sastry,et al. A Review of Fast `1-Minimization Algorithms for Robust Face Recognition , 2010 .
[25] S. Mallat,et al. Adaptive greedy approximations , 1997 .
[26] Allen Y. Yang,et al. CPRL -- An Extension of Compressive Sensing to the Phase Retrieval Problem , 2012, NIPS.
[27] Yonina C. Eldar,et al. GESPAR: Efficient Phase Retrieval of Sparse Signals , 2013, IEEE Transactions on Signal Processing.
[28] Allen Y. Yang,et al. Fast L1-Minimization Algorithms For Robust Face Recognition , 2010, 1007.3753.
[29] Yonina C. Eldar,et al. Sparsity-based single-shot sub-wavelength coherent diffractive imaging , 2011, 2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel.
[30] Yonina C. Eldar,et al. Sparsity Constrained Nonlinear Optimization: Optimality Conditions and Algorithms , 2012, SIAM J. Optim..
[31] Mike E. Davies,et al. Gradient pursuit for non-linear sparse signal modelling , 2008, 2008 16th European Signal Processing Conference.
[32] G. Papanicolaou,et al. Array imaging using intensity-only measurements , 2010 .
[33] Michael Elad,et al. Optimally sparse representation in general (nonorthogonal) dictionaries via ℓ1 minimization , 2003, Proceedings of the National Academy of Sciences of the United States of America.
[34] Michael Elad,et al. From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images , 2009, SIAM Rev..
[35] I. Loris. On the performance of algorithms for the minimization of ℓ1-penalized functionals , 2007, 0710.4082.
[36] M. Er. Quadratic optimization problems in robust beamforming , 1990 .
[37] Thomas Blumensath,et al. Compressed Sensing With Nonlinear Observations and Related Nonlinear Optimization Problems , 2012, IEEE Transactions on Information Theory.
[38] H. Konno,et al. A cutting plane algorithm for semi-definite programming problems with applications to failure discriminant analysis , 2002 .
[39] Yi Ma,et al. Robust principal component analysis? , 2009, JACM.