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   Articles with "decorrelation" as a keyword



Investigating the transverse-momentum- and pseudorapidity-dependent flow vector decorrelation in p–Pb collisions with a multi-phase transport model

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recommendations! Published in 2025 at "Chinese Physics C"

DOI: 10.1088/1674-1137/adef1b

Abstract: Event-by-event fluctuations in the initial energy density of nuclear collisions lead to the decorrelation of second order flow vector, which is known as its transverse-momentum ( ) and pseudorapidity (η) dependence as observed in high-energy… read more here.

Keywords: decorrelation; vector decorrelation; flow vector; model ... See more keywords

Longitudinal fluctuations and decorrelations of anisotropic flows at energies available at the CERN Large Hadron Collider and at the BNL Relativistic Heavy Ion Collider

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recommendations! 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… read more here.

Keywords: relativistic heavy; anisotropic flows; heavy ion; collider ... See more keywords

Mapping Forest Height and Temporal Decorrelation With SAOCOM and GEDI Data

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recommendations! Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2025.3595673

Abstract: Polarimetric SAR interferometric (PolInSAR) methods have proven effective for estimating canopy height using airborne data, yet their application with spaceborne sensors remains limited. Addressing this gap is crucial for advancing operational canopy height estimation using… read more here.

Keywords: decorrelation; saocom; height temporal; temporal decorrelation ... See more keywords

Biospeckle Decorrelation Quantifies the Performance of Alginate-Encapsulated Probiotic Bacteria

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recommendations! 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… read more here.

Keywords: encapsulated probiotic; biospeckle decorrelation; food; decorrelation ... See more keywords

InSAR Decorrelation at X-Band From the Joint TanDEM-X/PAZ Constellation

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recommendations! 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… read more here.

Keywords: tandem paz; constellation; decorrelation; insar decorrelation ... See more keywords

Impact of Ocean Waves on the Decorrelation of Interferometric Radar Altimeter Image

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recommendations! 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… read more here.

Keywords: ocean waves; radar altimeter; decorrelation; ira ... See more keywords

Decorrelation of Previously Communicated Information for an Interacting Multiple Model Filter

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recommendations! 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… read more here.

Keywords: decorrelation previously; decorrelation; multiple model; interacting multiple ... See more keywords

Robust Transverse and Axial Flow Measurement Using Constrained Dynamic Time Warping and Cumulative Decorrelation of Intravascular Ultrasound Signals

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recommendations! Published in 2025 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2025.3565030

Abstract: The accurate measurement of blood flow velocity is vital for diagnosing and treating various medical conditions. However, precisely measuring transverse and axial blood flow velocities in small, deeply embedded blood vessels remains a significant challenge.… read more here.

Keywords: decorrelation; time; transverse axial; blood flow ... See more keywords

SNR-Adaptive OCT Angiography Enabled by Statistical Characterization of Intensity and Decorrelation With Multi-Variate Time Series Model

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recommendations! 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… read more here.

Keywords: oct; multi variate; oct angiography; model ... See more keywords

Low-Complexity Decorrelation NLMS Algorithms: Performance Analysis and AEC Application

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recommendations! 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… read more here.

Keywords: decorrelation nlms; aec application; low complexity; complexity decorrelation ... See more keywords

Diffusion Bayesian Decorrelation Algorithms Over Networks

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recommendations! 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… read more here.

Keywords: diffusion; dbdlms algorithms; diffusion bayesian; decorrelation ... See more keywords