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Published in 2018 at "Physical Review C"
DOI: 10.1103/physrevc.98.024913
Abstract: We perform a systematic study on the decorrelation of anisotropic flows along the pseudorapidity in relativistic heavy-ion collisions at the CERN Large Hadron Collider (LHC) and BNL Relativistic Heavy Ion Collider (RHIC) energies. The dynamical…
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Keywords:
relativistic heavy;
anisotropic flows;
heavy ion;
collider ... See more keywords
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Published in 2019 at "IEEE Journal of Selected Topics in Quantum Electronics"
DOI: 10.1109/jstqe.2018.2836941
Abstract: In recent years, the use of probiotics in food and health has increased so much that usually market offers several functional fermented food or nutraceuticals containing probiotics, often also associated to prebiotics. Both in food…
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Keywords:
encapsulated probiotic;
biospeckle decorrelation;
food;
decorrelation ... See more keywords
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Published in 2020 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2020.3014809
Abstract: Decorrelation phenomena are always present in Synthetic Aperture Radar Interferometry (InSAR). While this implies a certain level of signal degradation, decorrelation is also a characteristic of the type of imaged target itself and can therefore…
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Keywords:
tandem paz;
constellation;
decorrelation;
insar decorrelation ... See more keywords
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Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3222497
Abstract: Interferometric radar altimeter (IRA) is a new ocean remote sensing sensor. It can be used to retrieve sea surface height (SSH) by means of cross-track interferometry. Compared with the traditional cross-track interferometric synthetic aperture radar…
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Keywords:
ocean waves;
radar altimeter;
decorrelation;
ira ... See more keywords
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Published in 2021 at "IEEE Transactions on Aerospace and Electronic Systems"
DOI: 10.1109/taes.2020.3018275
Abstract: In a sensor network compensation of the correlated information caused by previous communication is of utmost interest for distributed estimation. In this article, we investigate an information decorrelation approach that can be applied when using…
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Keywords:
decorrelation previously;
decorrelation;
multiple model;
interacting multiple ... See more keywords
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Published in 2019 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2019.2910871
Abstract: In OCT angiography (OCTA), decorrelation computation has been widely used as a local motion index to identify dynamic flow from static tissues, but its dependence on SNR severely degrades the vascular visibility, particularly in low-SNR…
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Keywords:
oct;
multi variate;
oct angiography;
model ... See more keywords
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Published in 2020 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2020.3039595
Abstract: In the traditional decorrelation normalized least-mean-square (D-NLMS) algorithm, high computational complexity is mainly caused by finding the decorrelated-vector. To address this issue, this article proposes a low-complexity implementation approach, which cleverly utilizes the periodic update…
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Keywords:
decorrelation nlms;
aec application;
low complexity;
complexity decorrelation ... See more keywords
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Published in 2023 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2023.3248484
Abstract: The convergence rate of the diffusion normalized least mean squares (NLMS) algorithm can be speeded up by decorrelation of signals. However, the diffusion decorrelation NLMS algorithm confronts the conflicting requirements of fast convergence rate and…
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Keywords:
diffusion;
dbdlms algorithms;
diffusion bayesian;
decorrelation ... See more keywords
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Published in 2020 at "Journal of Communications Technology and Electronics"
DOI: 10.1134/s1064226920070062
Abstract: Based on the general model of signals scattered by the rough surface of the seabed, relations are developed for estimating the errors of measurement by the interferometric side-scan sonar (ISSS) of the arrival angles of…
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Keywords:
decorrelation factors;
error measuring;
factors error;
measuring signal ... See more keywords
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Published in 2022 at "Biomedical optics express"
DOI: 10.1364/boe.459632
Abstract: Dynamic OCT angiography (OCTA) is an attractive approach for monitoring stimulus-evoked hemodynamics; however, a 4D (3D space and time) dataset requires a long acquisition time and has a large data size, thereby posing a great…
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Keywords:
snr;
time;
dynamic inverse;
decorrelation ... See more keywords
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Published in 2021 at "Optics express"
DOI: 10.1364/oe.423391
Abstract: This paper presents analytical modelling for describing the speckle noise decorrelation in phase data from two- or multiple-wavelength digital holography. A novel expression for the modulus of the coherence factor is proposed for the case…
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Keywords:
surface;
surface shape;
noise;
wavelength ... See more keywords