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PhasePack: A Phase Retrieval Library [article]

Rohan Chandra, Ziyuan Zhong, Justin Hontz, Val McCulloch, Christoph Studer, Tom Goldstein
2017 arXiv   pre-print
PhasePack is able to benchmark a large number of recent phase retrieval methods against one another to generate comparisons using a range of different performance metrics.  ...  The purpose of PhasePack is to create a common software interface for a wide range of phase retrieval algorithms and to provide a common testbed using both synthetic data and empirical imaging datasets  ...  ACKNOWLEDGMENTS We would like to thank Ashok Veeraghavan and Chris Metzler at Rice University for making their empirical datasets available in PhasePack.  ... 
arXiv:1711.10175v2 fatcat:fkcehyfftjgcfbics6jmphavli

PhasePack: A Phase Retrieval Library

Rohan Chandra, Tom Goldstein, Christoph Studer
2019 2019 13th International conference on Sampling Theory and Applications (SampTA)  
PhasePack is able to benchmark a large number of recent phase retrieval methods against one another to generate comparisons using a range of different performance metrics.  ...  The purpose of PhasePack is to create a common software interface for a wide range of phase retrieval algorithms and to provide a common testbed using both synthetic data and empirical imaging datasets  ...  ACKNOWLEDGMENTS We would like to thank Ashok Veeraghavan and Chris Metzler at Rice University for making their empirical datasets available in PhasePack.  ... 
doi:10.1109/sampta45681.2019.9030878 fatcat:ftlztd44z5hwzecyowb4t5jq7q

PhasePack User Guide [article]

Rohan Chandra, Ziyuan Zhong, Justin Hontz, Val McCulloch, Christoph Studer, Tom Goldstein
2017 arXiv   pre-print
PhasePack is a software library that creates a common interface for a wide range of phase retrieval schemes.  ...  PhasePack also provides a test bed for phase retrieval methods using both synthetic data and publicly available empirical datasets.  ...  The file runSignalReconstructionDemo is a simple script that demonstrates how to build a phase retrieval problem and solve it using PhasePack.  ... 
arXiv:1711.09777v3 fatcat:7hcmdyag4ngydbtfi6p2xbxaf4

Phaseless Near Field Antenna Measurements from Two Surface Scans -Numerical and Experimental Investigations

Benjamin Fuchs, Michael Mattes, Sebastien Rondineau, Laurent Le Coq
2019 IEEE Transactions on Antennas and Propagation  
The reconstruction of these equivalent currents uses recently proposed phase retrieval algorithms that mitigate some of the shortcomings of existing techniques with an automatic settings of the initial  ...  In addition to be readily available and easy to be plugged in electromagnetic modeling tools, these routines exhibit good phase recovery performances and robustness with respect to noise, separation between  ...  These algorithms are now readily available thanks to the general purpose phase retrieval library PhasePack [33] .  ... 
doi:10.1109/tap.2019.2938744 fatcat:ym2xkeww3bbipdrcwa3zpo2ckm

PhaseMax: Convex Phase Retrieval via Basis Pursuit [article]

Tom Goldstein, Christoph Studer
2018 arXiv   pre-print
We formulate phase retrieval as a convex optimization problem, which we call PhaseMax.  ...  We consider the recovery of a (real- or complex-valued) signal from magnitude-only measurements, known as phase retrieval.  ...  This software library provides efficient implementations of phase retrieval methods using fast adaptive gradient solvers [53] .  ... 
arXiv:1610.07531v3 fatcat:43c7z6gvdne3vmfbpcnwdrnxhu

Reliable Linearized Phase Retrieval for Near-Field Antenna Measurements with Truncated Measurement Surfaces [article]

Alexander Paulus, Josef Knapp, Jonas Kornprobst, Thomas F. Eibert
2021 arXiv   pre-print
Hence, reliable and accurate phase retrieval can be achieved in near-field far-field transformations (NFFFTs).  ...  Most methods tackling the phase retrieval problem of magnitude-only antenna measurements suffer from unrealistic sampling requirements, from unfeasible computational complexities, and, most severely, from  ...  The initial guess for all nonconvex solvers was generated according to the optimal spectral method [48] , [49] via the implementation provided in the PhasePack library [50] , [51] .  ... 
arXiv:2109.10864v1 fatcat:fhvgsu56wrasfctkujpdli2nee

Blind Multiple Input Multiple Output Image Phase Retrieval

Yina Guo, Xiangning Zhao, Jianyu Li, Anhong Wang, Wenwu Wang
2019 IEEE transactions on industrial electronics (1982. Print)  
To address the BMIPR phase retrieval problem, an integrated algorithm is presented, which combines a gradient descent algorithm by minimizing a nonconvex loss function with an independent component analysis  ...  blind multiple-input multiple-output image phase retrieval (BMIPR) problem.  ...  The codes of the PhaseLamp algorithm and PhaseLift algorithm are obtained from a phase retrieval library PhasePack [32] .  ... 
doi:10.1109/tie.2019.2901661 fatcat:iby7dnaq3vfvbnra2ejg5qlzfm

A Spectral Estimation Framework for Phase Retrieval via Bregman Divergence Minimization [article]

Bariscan Yonel, Birsen Yazici
2020 arXiv   pre-print
In this paper, we develop a novel framework to optimally design spectral estimators for phase retrieval given measurements realized from an arbitrary model.  ...  We then propose a general formalism for spectral estimation as approximate Bregman loss minimization in the range of the lifted forward model that is tractable by a search over rank-1, PSD matrices.  ...  applications to phase retrieval.  ... 
arXiv:2012.01652v2 fatcat:45gxt4zvqrcz5oprjowr7j3bu4

Lifting high-dimensional nonlinear models with Gaussian regressors [article]

Christos Thrampoulidis, Ankit Singh Rawat
2018 arXiv   pre-print
In a nutshell, our method treats such link functions as if they were linear in a lifted space of higher-dimension.  ...  Brillinger (1982) showed that ordinary least-squares estimates x_0 up to a constant of proportionality μ_ℓ, which depends on f.  ...  PhasePack: A phase retrieval library. Asilomar Conference on Signals, Systems, and Computers, 2017.[7] Venkat Chandrasekaran, Benjamin Recht, Pablo A Parrilo, and Alan S Willsky.  ... 
arXiv:1712.03638v2 fatcat:62lvexbjyvggtbiyb2laotme7i