Results 11 to 20 of about 7,807,536 (173)
One-Bit Phase Retrieval: More Samples Means Less Complexity? [PDF]
IEEE Transactions on Signal Processing, 2022 The classical problem of phase retrieval has found a wide array of applications in optics, imaging and signal processing. In this paper, we consider the phase retrieval problem in a one-bit setting, where the signals are sampled using one-bit analog-to ...
Arian Eamaz +2 more
semanticscholar +1 more source
Dual-plane coupled phase retrieval for non-prior holographic imaging
PhotoniX, 2022 Accurate depiction of waves in temporal and spatial is essential to the investigation of interactions between physical objects and waves. Digital holography (DH) can perform quantitative analysis of wave–matter interactions.
Zhengzhong Huang +3 more
semanticscholar +1 more source
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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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 ...
Mukherjee, Subhadip +1 more
openaire +2 more sources
Low rank phase retrieval [PDF]
2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017 To appear in IEEE Trans.
Vaswani, Namrata +2 more
openaire +2 more sources
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.
A. Fannjiang, T. Strohmer
semanticscholar +1 more source
Super-Resolution Phase Retrieval Network for Single-Pattern Structured Light 3D Imaging
IEEE Transactions on Image Processing, 2022 Structured light 3D imaging is often used for obtaining accurate 3D information via phase retrieval. Single-pattern structured light 3D imaging is much faster than multi-pattern versions.
Jianwen Song +3 more
semanticscholar +1 more source
PhaseGAN: a deep-learning phase-retrieval approach for unpaired datasets. [PDF]
Optics Express, 2020 Phase retrieval approaches based on deep learning (DL) provide a framework to obtain phase information from an intensity hologram or diffraction pattern in a robust manner and in real-time.
Yuhe Zhang +6 more
semanticscholar +1 more source
Phase Retrieval via Wirtinger Flow: Theory and Algorithms [PDF]
IEEE Transactions on Information Theory, 2014 We study the problem of recovering the phase from magnitude measurements; specifically, we wish to reconstruct a complex-valued signal x ∈ ℂn about which we have phaseless samples of the form yr = |〈ar, x〉|2, r = 1, ..., m (knowledge of the phase of ...
E. Candès +2 more
semanticscholar +1 more source
Carrier-Assisted Phase Retrieval
Journal of Lightwave Technology, 2021 Phase-retrieval (PR) schemes based on the modified Gerchberg-Saxton (GS) algorithm capture the full-field employing a dispersive element and intensity-only measurements to eliminate the use of local oscillator.
Qi Wu, Yixiao Zhu, Weisheng Hu
semanticscholar +1 more source