Results 31 to 40 of about 573,440 (274)
npj Computational Materials, 2022 The problem of phase retrieval underlies various imaging methods from astronomy to nanoscale imaging. Traditional phase retrieval methods are iterative and are therefore computationally expensive.
Yudong Yao +5 more
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Remote Sensing, 2022 High-resolution wind vector is important to investigate local winds’ variability over the global ocean. Quad-polarization Synthetic Aperture Radar (SAR) can provide wind vector independently without any external wind direction inputs.
Xiaochen Wang +5 more
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Reconstruction of Isolated Moving Objects by Motion-Induced Phase Shift Based on PSP
Applied Sciences, 2021 The reconstruction of moving objects based on phase shifting profilometry has attracted intensive interests. Most of the methods introduce the phase shift by projecting multiple fringe patterns, which is undesirable in moving object reconstruction as the
Ke Wu, Min Li, Lei Lu, Jiangtao Xi
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On stability of generalized phase retrieval and generalized affine phase retrieval
Journal of Inequalities and Applications, 2019 In this paper, we consider the stability of intensity measurement mappings corresponding to generalized phase retrieval and generalized affine phase retrieval in the real case. First, we show the bi-Lipschitz property on measurements of noiseless signals.
Zhitao Zhuang
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Solving multiple windowed STFT phase retrieval problems in phase and amplitude respectively
Applied Mathematics in Science and Engineering, 2022 We study the Phase Retrieval (PR) problem under the phaseless short-time Fourier transform (STFT) measurements. This paper proposes a novel algorithm named PAR to solve the STFT PR problem in phase and amplitude respectively with a milder retrieval ...
Xianchen Zhou, Hongxia Wang
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Generalized Phase (Norm) Retrieval Hermitian Matrices and $G$-frames [PDF]
Sahand Communications in Mathematical AnalysisThis paper is an analysis of the generalized phase (norm) retrieval problem, which aims to reconstruct a signal from its quadratic measurements. We provide some connections between phase (norm) retrieval $G$-frames and generalized phase (norm) retrieval ...
Fatemeh Shojaei +2 more
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Classifying weak phase retrieval
, 2023 arXiv admin note: substantial text overlap with arXiv:2110 ...
Casazza, P. G., Akrami, F.
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Phase retrieval from very few measurements [PDF]
, 2013 In many applications, signals are measured according to a linear process, but the phases of these measurements are often unreliable or not available. To reconstruct the signal, one must perform a process known as phase retrieval.
Fickus, Matthew +3 more
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Revising the lower statistical limit of x-ray grating-based phase-contrast computed tomography.
PLoS ONE, 2017 Phase-contrast x-ray computed tomography (PCCT) is currently investigated as an interesting extension of conventional CT, providing high soft-tissue contrast even if examining weakly absorbing specimen.
Mathias Marschner +6 more
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Proximity operators for phase retrieval [PDF]
Applied Optics, 2016 We present a new formulation of a family of proximity operators that generalize the projector step for phase retrieval. These proximity operators for noisy intensity measurements can replace the classical "noise free" projection in any projection-based algorithm. They are derived from a maximum likelihood formulation and admit closed form solutions for
Soulez, Ferréol +5 more
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