暂无分享,去创建一个
[1] John Wright,et al. A Geometric Analysis of Phase Retrieval , 2016, International Symposium on Information Theory.
[2] Emmanuel J. Candès,et al. PhaseLift: Exact and Stable Signal Recovery from Magnitude Measurements via Convex Programming , 2011, ArXiv.
[3] Emmanuel J. Candès,et al. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information , 2004, IEEE Transactions on Information Theory.
[4] J R Fienup,et al. Phase retrieval algorithms: a comparison. , 1982, Applied optics.
[5] Mayank Bakshi,et al. SUPER: Sparse signals with unknown phases efficiently recovered , 2014, 2014 IEEE International Symposium on Information Theory.
[6] J. Rodenburg,et al. An improved ptychographical phase retrieval algorithm for diffractive imaging. , 2009, Ultramicroscopy.
[7] 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.
[8] M. Talagrand. The Generic chaining : upper and lower bounds of stochastic processes , 2005 .
[9] Yang Wang,et al. Robust sparse phase retrieval made easy , 2014, 1410.5295.
[10] Piya Pal,et al. Sparse phase retrieval using partial nested fourier samplers , 2015, 2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP).
[11] Tom Goldstein,et al. PhaseMax: Convex Phase Retrieval via Basis Pursuit , 2016, IEEE Transactions on Information Theory.
[12] Robert W. Harrison,et al. Phase problem in crystallography , 1993 .
[13] K. Nugent,et al. Unique phase recovery for nonperiodic objects. , 2003, Physical review letters.
[14] Piotr Indyk,et al. Fast Algorithms for Structured Sparsity , 2015, Bull. EATCS.
[15] Piotr Indyk,et al. Approximation-Tolerant Model-Based Compressive Sensing , 2014, SODA.
[16] Rick P. Millane,et al. Phase retrieval in crystallography and optics , 1990 .
[17] Chandler Davis. The rotation of eigenvectors by a perturbation , 1963 .
[18] Yingbin Liang,et al. Reshaped Wirtinger Flow for Solving Quadratic System of Equations , 2016, NIPS.
[19] Volkan Cevher,et al. Sparse Signal Recovery Using Markov Random Fields , 2008, NIPS.
[20] M. Yuan,et al. Model selection and estimation in regression with grouped variables , 2006 .
[21] Sundeep Rangan,et al. Compressive phase retrieval via generalized approximate message passing , 2012, Allerton Conference.
[22] Allen Y. Yang,et al. CPRL -- An Extension of Compressive Sensing to the Phase Retrieval Problem , 2012, NIPS.
[23] Yonina C. Eldar,et al. GESPAR: Efficient Phase Retrieval of Sparse Signals , 2013, IEEE Transactions on Signal Processing.
[24] Alexandre d'Aspremont,et al. Phase recovery, MaxCut and complex semidefinite programming , 2012, Math. Program..
[25] Andrea Montanari,et al. Matrix completion from a few entries , 2009, ISIT.
[26] Richard Baraniuk,et al. Recovery of Clustered Sparse Signals from Compressive Measurements , 2009 .
[27] Piotr Indyk,et al. A Nearly-Linear Time Framework for Graph-Structured Sparsity , 2015, ICML.
[28] Junzhou Huang,et al. Learning with structured sparsity , 2009, ICML '09.
[29] Xiaodong Li,et al. Optimal Rates of Convergence for Noisy Sparse Phase Retrieval via Thresholded Wirtinger Flow , 2015, ArXiv.
[30] Justin K. Romberg,et al. Efficient Compressive Phase Retrieval with Constrained Sensing Vectors , 2015, NIPS.
[31] Piotr Indyk,et al. A fast approximation algorithm for tree-sparse recovery , 2014, 2014 IEEE International Symposium on Information Theory.
[32] V. Bentkus. An Inequality for Tail Probabilities of Martingales with Differences Bounded from One Side , 2003 .
[33] Mahdi Soltanolkotabi,et al. Structured Signal Recovery From Quadratic Measurements: Breaking Sample Complexity Barriers via Nonconvex Optimization , 2017, IEEE Transactions on Information Theory.
[34] Deanna Needell,et al. CoSaMP: Iterative signal recovery from incomplete and inaccurate samples , 2008, ArXiv.
[35] E. Candès,et al. Stable signal recovery from incomplete and inaccurate measurements , 2005, math/0503066.
[36] Yuxin Chen,et al. Solving Random Quadratic Systems of Equations Is Nearly as Easy as Solving Linear Systems , 2015, NIPS.
[37] Zhang Fe. Phase retrieval from coded diffraction patterns , 2015 .
[38] Andrea J. Goldsmith,et al. Exact and Stable Covariance Estimation From Quadratic Sampling via Convex Programming , 2013, IEEE Transactions on Information Theory.
[39] Kannan Ramchandran,et al. Compressed sensing using sparse-graph codes for the continuous-alphabet setting , 2016, 2016 54th Annual Allerton Conference on Communication, Control, and Computing (Allerton).
[40] Felix Krahmer,et al. Improved Recovery Guarantees for Phase Retrieval from Coded Diffraction Patterns , 2014, arXiv.org.
[41] Deanna Needell,et al. Greedy signal recovery review , 2008, 2008 42nd Asilomar Conference on Signals, Systems and Computers.
[42] R. Gerchberg. A practical algorithm for the determination of phase from image and diffraction plane pictures , 1972 .
[43] Ke Wei. Solving systems of phaseless equations via Kaczmarz methods: a proof of concept study , 2015 .
[44] Gang Wang,et al. Sparse Phase Retrieval via Truncated Amplitude Flow , 2016, IEEE Transactions on Signal Processing.
[45] Stefano Marchesini,et al. Phase retrieval and saddle-point optimization. , 2006, Journal of the Optical Society of America. A, Optics, image science, and vision.
[46] Yonina C. Eldar,et al. Phase Retrieval with Application to Optical Imaging: A contemporary overview , 2015, IEEE Signal Processing Magazine.
[47] David P. Woodruff,et al. Lower bounds for sparse recovery , 2010, SODA '10.
[48] Yonina C. Eldar,et al. Solving Systems of Random Quadratic Equations via Truncated Amplitude Flow , 2016, IEEE Transactions on Information Theory.
[49] Yonina C. Eldar,et al. Block-Sparse Signals: Uncertainty Relations and Efficient Recovery , 2009, IEEE Transactions on Signal Processing.
[50] Volkan Cevher,et al. Recovery of compressible signals in unions of subspaces , 2009, 2009 43rd Annual Conference on Information Sciences and Systems.
[51] Babak Hassibi,et al. Sparse phase retrieval: Convex algorithms and limitations , 2013, 2013 IEEE International Symposium on Information Theory.
[52] P. Massart,et al. Adaptive estimation of a quadratic functional by model selection , 2000 .
[53] J. Miao,et al. Extending X-ray crystallography to allow the imaging of noncrystalline materials, cells, and single protein complexes. , 2008, Annual review of physical chemistry.
[54] Piotr Indyk,et al. Nearly Linear-Time Model-Based Compressive Sensing , 2014, ICALP.
[55] Kannan Ramchandran,et al. PhaseCode: Fast and Efficient Compressive Phase Retrieval Based on Sparse-Graph Codes , 2017, IEEE Transactions on Information Theory.
[56] Xiaodong Li,et al. Sparse Signal Recovery from Quadratic Measurements via Convex Programming , 2012, SIAM J. Math. Anal..
[57] Xiaodong Li,et al. Phase Retrieval via Wirtinger Flow: Theory and Algorithms , 2014, IEEE Transactions on Information Theory.
[58] Volkan Cevher,et al. Model-Based Compressive Sensing , 2008, IEEE Transactions on Information Theory.
[59] Sjoerd Dirksen,et al. Tail bounds via generic chaining , 2013, ArXiv.
[60] Prateek Jain,et al. Phase Retrieval Using Alternating Minimization , 2013, IEEE Transactions on Signal Processing.
[61] Yang Wang,et al. Phase retrieval from very few measurements , 2013, ArXiv.