Results 11 to 20 of about 186,158 (254)
Dynamic X-ray speckle-tracking imaging with high-accuracy phase retrieval based on deep learning [PDF]
IUCrJSpeckle-tracking X-ray imaging is an attractive candidate for dynamic X-ray imaging owing to its flexible setup and simultaneous yields of phase, transmission and scattering images.
Fucheng Yu +9 more
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The numerics of phase retrieval [PDF]
Acta Numerica, 2020 Phase retrieval,i.e.the problem of recovering a function from the squared magnitude of its Fourier transform, arises in many applications, such as X-ray crystallography, diffraction imaging, optics, quantum mechanics and astronomy. This problem has confounded engineers, physicists, and mathematicians for many decades. Recently, phase retrieval has seen
Albert Fannjiang, Thomas Strohmer
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Frame Phase-Retrievability and Exact Phase-Retrievable Frames [PDF]
Journal of Fourier Analysis and Applications, 2019 An exact phase-retrievable frame $\{f_{i}\}_{i}^{N}$ for an $n$-dimensional Hilbert space is a phase-retrievable frame that fails to be phase-retrievable if any one element is removed from the frame. Such a frame could have different lengths. We shall prove that for the real Hilbert space case, exact phase-retrievable frame of length $N$ exists for ...
Han, Deguang +3 more
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Phase Retrieval with Polarization [PDF]
SIAM Journal on Imaging Sciences, 2014 In many areas of imaging science, it is difficult to measure the phase of linear measurements. As such, one often wishes to reconstruct a signal from intensity measurements, that is, perform phase retrieval. In this paper, we provide a novel measurement design which is inspired by interferometry and exploits certain properties of expander graphs.
Boris Alexeev +3 more
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Phase Retrieval with Sparse Phase Constraint [PDF]
SIAM Journal on Mathematics of Data Science, 2020 For the first time, this paper investigates the phase retrieval problem with the assumption that the phase (of the complex signal) is sparse in contrast to the sparsity assumption on the signal itself as considered in the literature of sparse signal processing.
Nguyen Hieu Thao +3 more
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Quantization-aware phase retrieval [PDF]
International Journal of Wavelets, Multiresolution and Information Processing, 2020 We address the problem of phase retrieval (PR) from quantized measurements. The goal is to reconstruct a signal from quadratic measurements encoded with a finite precision, which is indeed the case in practical applications. We develop an iterative projected-gradient-type algorithm that recovers the signal subject to ensuring consistency with the ...
Subhadip Mukherjee +1 more
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Low rank phase retrieval [PDF]
2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017 To appear in IEEE Trans.
Seyedehsara Nayer +2 more
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CoRR, 2021 We study a bandit version of phase retrieval where the learner chooses actions $(A_t)_{t=1}^n$ in the $d$-dimensional unit ball and the expected reward is $\langle A_t, θ_\star\rangle^2$ where $θ_\star \in \mathbb R^d$ is an unknown parameter vector. We prove that the minimax cumulative regret in this problem is $\smash{\tilde Θ(d \sqrt{n})}$, which ...
Tor Lattimore, Botao Hao
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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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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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