Results 31 to 40 of about 571,490 (277)

Phase retrieval from power spectra of masked signals [PDF]

, 2013
In diffraction imaging, one is tasked with reconstructing a signal from its power spectrum. To resolve the ambiguity in this inverse problem, one might invoke prior knowledge about the signal, but phase retrieval algorithms in this vein have found ...
Bandeira, Afonso S., Chen, Yutong, Mixon, Dustin G.   +2 more
core   +1 more source

Application of a Deep Neural Network to Phase Retrieval in Inverse Medium Scattering Problems

Computation, 2021
We address the inverse medium scattering problem with phaseless data motivated by nondestructive testing for optical fibers. As the phase information of the data is unknown, this problem may be regarded as a standard phase retrieval problem that consists
Soojong Lim, Jaemin Shin
doaj   +1 more source

Phase Recovery, MaxCut and Complex Semidefinite Programming

, 2013
Phase retrieval seeks to recover a signal x from the amplitude |Ax| of linear measurements. We cast the phase retrieval problem as a non-convex quadratic program over a complex phase vector and formulate a tractable relaxation (called PhaseCut) similar ...
d'Aspremont, Alexandre, Mallat, Stéphane, Waldspurger, Irène   +2 more
core   +1 more source

Phase Retrieval with Random Phase Illumination

, 2012
This paper presents a detailed, numerical study on the performance of the standard phasing algorithms with random phase illumination (RPI). Phasing with high resolution RPI and the oversampling ratio $\sigma=4$ determines a unique phasing solution up to ...
Albert Fannjiang, Almoro, Anand, Bauschke, Fannjiang, Fienup, Fienup, Fienup, Gerchberg, Hayes, Hayes, Levi, Marchesini, Miao, Miao, Miao, Miao, Miao, Millane, Pitts, Wenjing Liao   +20 more
core   +3 more sources

Unfolded Algorithms for Deep Phase Retrieval

Algorithms
Exploring the idea of phase retrieval has been intriguing researchers for decades due to its appearance in a wide range of applications. The task of a phase retrieval algorithm is typically to recover a signal from linear phase-less measurements. In this
Naveed Naimipour, Shahin Khobahi, Mojtaba Soltanalian, Haleh Safavi, Harry C. Shaw   +4 more
doaj   +1 more source

PhaseLin: Linear Phase Retrieval

, 2018
Phase retrieval deals with the recovery of complex- or real-valued signals from magnitude measurements. As shown recently, the method PhaseMax enables phase retrieval via convex optimization and without lifting the problem to a higher dimension.
Ghods, Ramina, Goldstein, Tom, Lan, Andrew S., Studer, Christoph   +3 more
core   +1 more source

Time evolution of the extremely diluted Blume-Emery-Griffiths neural network [PDF]

, 2002
The time evolution of the extremely diluted Blume-Emery-Griffiths neural network model is studied, and a detailed equilibrium phase diagram is obtained exhibiting pattern retrieval, fluctuation retrieval and self-sustained activity phases.
Bolle', D., Dominguez, D. R. C., Erichsen Jr., R., Korutcheva, E., Theumann, W. K.   +4 more
core   +5 more sources

Linear phase retrieval for real-time adaptive optics [PDF]

Journal of the European Optical Society-Rapid Publications, 2013
We developed a fast phase retrieval algorithm that is suitable for real-time applications such as adaptive optics. The phase retrieval model is developed by linearising the pupil function in the approximation of small aberrations and is valid for low-NA ...
Polo A., Haber A., Pereira S. F., Verhaegen M., Urbach H. P.   +4 more
doaj   +1 more source

PhaseMax: Convex Phase Retrieval via Basis Pursuit

, 2018
We consider the recovery of a (real- or complex-valued) signal from magnitude-only measurements, known as phase retrieval. We formulate phase retrieval as a convex optimization problem, which we call PhaseMax.
Goldstein, Tom, Studer, Christoph
core   +1 more source

Non-negativity constraints in the one-dimensional discrete-time phase retrieval problem [PDF]

, 2016
Phase retrieval problems occur in a width range of applications in physics and engineering such as crystallography, astronomy, and laser optics. Common to all of them is the recovery of an unknown signal from the intensity of its Fourier transform ...
Beinert, Robert
core   +1 more source