Robust sparse phase retrieval made easy
From MaRDI portal
Publication:347523
DOI10.1016/j.acha.2015.06.007zbMath1393.94274arXiv1410.5295OpenAlexW1552037902MaRDI QIDQ347523
Aditya Viswanathan, Yang Wang, Mark A. Iwen
Publication date: 30 November 2016
Published in: Applied and Computational Harmonic Analysis (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1410.5295
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Uses Software
Cites Work
- A mathematical introduction to compressive sensing
- Solving quadratic equations via phaselift when there are about as many equations as unknowns
- Iterative hard thresholding for compressed sensing
- Phase retrieval for sparse signals
- CoSaMP: Iterative signal recovery from incomplete and inaccurate samples
- Uniform uncertainty principle and signal recovery via regularized orthogonal matching pursuit
- Random sampling of sparse trigonometric polynomials. II: Orthogonal matching pursuit versus basis pursuit
- A simple proof of the restricted isometry property for random matrices
- Painless reconstruction from magnitudes of frame coefficients
- Templates for convex cone problems with applications to sparse signal recovery
- Quantum tomography under prior information
- Compressed sensing with sparse binary matrices: instance optimal error guarantees in near-optimal time
- Phase retrieval from very few measurements
- Phase retrieval: stability and recovery guarantees
- On signal reconstruction without phase
- PhaseLift: Exact and Stable Signal Recovery from Magnitude Measurements via Convex Programming
- Sparse Signal Recovery from Quadratic Measurements via Convex Programming
- Phase Retrieval with Polarization
- Graph Implementations for Nonsmooth Convex Programs
- Compressed sensing and best 𝑘-term approximation
- Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
- Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
- Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit
- GESPAR: Efficient Phase Retrieval of Sparse Signals
- Compressive Phase Retrieval via Generalized Approximate Message Passing
- Stable signal recovery from incomplete and inaccurate measurements
- Compressed sensing