Results 41 to 50 of about 186,158 (254)

Modified Gerchberg–Saxton (G-S) Algorithm and Its Application

open access: yesEntropy, 2020
The Gerchberg–Saxton (G-S) algorithm is a phase retrieval algorithm that is widely used in beam shaping and optical information processing. However, the G-S algorithm has difficulty obtaining the exact solution after iterating, and an approximate ...
Tieyu Zhao, Yingying Chi
doaj   +1 more source

Assessment of Fringe Pattern Decomposition with a Cross-Correlation Index for Phase Retrieval in Fringe Projection 3D Measurements

open access: yesSensors, 2018
Phase retrieval from single frame projection fringe patterns, a fundamental and challenging problem in fringe projection measurement, attracts wide attention and various new methods have emerged to address this challenge. Many phase retrieval methods are
Xinjun Zhu   +3 more
doaj   +1 more source

Phase Transitions in Phase Retrieval [PDF]

open access: yes, 2015
Consider a scenario in which an unknown signal is transformed by a known linear operator, and then the pointwise absolute value of the unknown output function is reported. This scenario appears in several applications, and the goal is to recover the unknown signal -- this is called phase retrieval. Phase retrieval has been a popular subject of research
openaire   +2 more sources

Subspace Phase Retrieval

open access: yesIEEE Transactions on Information Theory
To appear in IEEE Transactions on Information Theory, 2024, 33 pages, 10 ...
Mengchu Xu, Dekuan Dong, Jian Wang 0016
openaire   +4 more sources

Proximity operators for phase retrieval [PDF]

open access: yesApplied 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
openaire   +5 more sources

Phase Retrieval by Linear Algebra [PDF]

open access: yesSIAM Journal on Matrix Analysis and Applications, 2017
The null vector method, based on a simple linear algebraic concept, is proposed as a solution to the phase retrieval problem. In the case with complex Gaussian random measurement matrices, a non-asymptotic error bound is derived, yielding an asymptotic regime of accurate approximation comparable to that for the spectral vector method.
Pengwen Chen   +2 more
openaire   +4 more sources

Golgi enzymes are retrieved from the plasma membrane to the trans‐Golgi network

open access: yesFEBS Letters, EarlyView.
Golgi enzymes are traditionally considered resident proteins retained within the Golgi apparatus. Here, we demonstrate that a subset transiently reaches the cell surface and is subsequently retrieved to the trans‐Golgi network via retrograde transport. Using a nanobody‐based toolkit, we uncover a dynamic trafficking cycle of several Golgi enzymes.
Dominik P. Buser, Tina Junne
wiley   +1 more source

Unfolded Algorithms for Deep Phase Retrieval

open access: yesAlgorithms
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   +4 more
doaj   +1 more source

Translophagy—A potential link between autophagy impairment and translational errors

open access: yesFEBS Letters, EarlyView.
Neurodegenerative diseases are characterised by the accumulation of abnormal proteins and protein aggregates, but their origin often remains unknown. We propose that selective autophagy removes damaged protein‐making machinery, preventing errors during protein synthesis.
Mykola V. Korolchuk   +11 more
wiley   +1 more source

Heavy-Ball-Based Hard Thresholding Pursuit for Sparse Phase Retrieval Problems

open access: yesMathematics, 2023
We introduce a novel iterative algorithm, termed the Heavy-Ball-Based Hard Thresholding Pursuit for sparse phase retrieval problem (SPR-HBHTP), to reconstruct a sparse signal from a small number of magnitude-only measurements.
Yingying Li   +3 more
doaj   +1 more source

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