Articles with "fourier based" as a keyword



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Fourier‐based decomposition for simultaneous 2‐voxel MRS acquisition with 2SPECIAL

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Published in 2022 at "Magnetic Resonance in Medicine"

DOI: 10.1002/mrm.29369

Abstract: To simultaneously acquire spectroscopic signals from two MRS voxels using a multi‐banded 2 spin‐echo, full‐intensity acquired localized (2SPECIAL) sequence, and to decompose the signal to their respective regions by a novel voxel‐GRAPPA (vGRAPPA) decomposition approach… read more here.

Keywords: simultaneous voxel; fourier based; decomposition simultaneous; decomposition ... See more keywords
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Model‐constrained reconstruction accelerated with Fourier‐based undersampling for hyperpolarized [1‐13C] pyruvate imaging

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Published in 2022 at "Magnetic Resonance in Medicine"

DOI: 10.1002/mrm.29551

Abstract: Model‐constrained reconstruction with Fourier‐based undersampling (MoReFUn) is introduced to accelerate the acquisition of dynamic MRI using hyperpolarized [1‐13C]‐pyruvate. read more here.

Keywords: fourier based; model constrained; hyperpolarized 13c; constrained reconstruction ... See more keywords
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Evolution reconstruction of deviate Bell states by extending the novel Fourier-based method

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Published in 2020 at "Quantum Information Processing"

DOI: 10.1007/s11128-020-02719-0

Abstract: The time-variant quantum communication channel affected by uncontrollable environmental factors induces an unrepeatable evolution of Bell states, which calls for a universal method of evolution reconstruction. The novel Fourier-based method proposed recently is extended and… read more here.

Keywords: novel fourier; bell states; evolution reconstruction; fourier based ... See more keywords
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An Accurate Fourier-Based Method for Three-Dimensional Reconstruction of Transparent Surfaces in the Shape-From-Polarization Method

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Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.2977097

Abstract: The Fourier-based gradient field integration method can efficiently reconstruct transparent surfaces from the measured gradient data in the Shape-from-polarization method. However, for the differentiation operator having large truncation errors and lacking constraints on adjacent heights,… read more here.

Keywords: reconstruction; method; shape polarization; fourier based ... See more keywords
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Computational-Time Reduction of Fourier-Based Analytical Models

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Published in 2018 at "IEEE Transactions on Energy Conversion"

DOI: 10.1109/tec.2017.2737527

Abstract: An increasing interest in both efficient electric machines and more extensive control strategies demands evermore faster simulation tools. In that context, Fourier-based models, which combine low computational times with a high accuracy, have already proven… read more here.

Keywords: computational time; reduction; based models; fourier based ... See more keywords
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Sufficiently Informative and Relevant Features: An Information-Theoretic and Fourier-Based Characterization

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Published in 2022 at "IEEE Transactions on Information Theory"

DOI: 10.1109/tit.2022.3169998

Abstract: A fundamental challenge in learning is the presence of nonlinear redundancies and dependencies in the data. To address this, we propose a Fourier-based approach to characterize feature redundancies, in unsupervised learning, and feature-label dependencies, in… read more here.

Keywords: fourier based; sufficiently informative; fourier; feature ... See more keywords
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Adaptive optics with programmable Fourier-based wavefront sensors: a spatial light modulator approach to the LAM/ONERA on-sky pyramid sensor testbed

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Published in 2019 at "Journal of Astronomical Telescopes, Instruments, and Systems"

DOI: 10.1117/1.jatis.5.3.039001

Abstract: Abstract. Wavefront sensors (WFSs) encode phase information of an incoming wavefront into an intensity pattern that can be measured on a camera. Several kinds of WFSs are used in astronomical adaptive optics. Among them, Fourier-based… read more here.

Keywords: adaptive optics; wavefront sensors; fourier based; lam onera ... See more keywords
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Generalization of learned Fourier-based phase-diversity wavefront sensing.

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Published in 2023 at "Optics express"

DOI: 10.1364/oe.484057

Abstract: Proper initialization of the nonlinear optimization is important to avoid local minima in phase diversity wavefront sensing (PDWS). An effective neural network based on low-frequency coefficients in the Fourier domain has proved effective to determine… read more here.

Keywords: network; fourier based; phase diversity; diversity wavefront ... See more keywords