Results 41 to 50 of about 7,807,536 (173)
Compressive phase retrieval [PDF]
SPIE Proceedings, 2007 The theory of compressive sensing enables accurate and robust signal reconstruction from a number of measurements dictated by the signal's structure rather than its Fourier bandwidth. A key element of the theory is the role played by randomization. In particular, signals that are compressible in the time or space domain can be recovered from just a ...
Matthew L. Moravec +2 more
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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. +2 more
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Quantum enhanced phase retrieval
Optica, 2016 6 pages, 5 figures, comments are ...
Liat Liberman +3 more
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Deep learning as phase retrieval tool for CARS spectra.
Optics Express, 2020 Finding efficient and reliable methods for the extraction of the phase in optical measurements is challenging and has been widely investigated. Although sophisticated optical settings, e.g.
Rola Houhou +5 more
semanticscholar +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 +2 more
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Deep Iterative Reconstruction for Phase Retrieval [PDF]
Applied Optics, 2019 The classical phase retrieval problem is the recovery of a constrained image from the magnitude of its Fourier transform. Although there are several well-known phase retrieval algorithms, including the hybrid input-output (HIO) method, the reconstruction
Çaǧatay Işıl, F. Oktem, Aykut Koç
semanticscholar +1 more source
Terahertz phase retrieval imaging in reflection.
Optics Letters, 2020 Terahertz phase retrieval is a promising technique able to assess the complex diffracted wave properties through an iterative processing algorithm.
N. Petrov +5 more
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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
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Communications in Mathematical Physics, 1984 The problem of phase retrieval, which arises in all experimental uses of diffracted electromagnetic radiation for determining the intrinsic structure of a diffracting object, is a question of the behavior of Fourier transforms of distributions on groups.
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Holographic phase retrieval and reference design [PDF]
Inverse Problems, 2019 A general mathematical framework and recovery algorithm is presented for the holographic phase retrieval problem. In this problem, which arises in holographic coherent diffraction imaging, a ‘reference’ portion of the signal to be recovered via phase ...
David A. Barmherzig +4 more
semanticscholar +1 more source