Results 101 to 110 of about 338,685 (349)
Infrastructures, 2019 In this paper, ensemble empirical mode decomposition (EEMD) and empirical mode decomposition (EMD) methods are used for the effective identification of bridge natural frequencies from drive-by measurements.
Licheng Zhu, Abdollah Malekjafarian
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Noise Corruption of Empirical Mode Decomposition and Its Effect on Instantaneous Frequency
, 2010 Huang's Empirical Mode Decomposition (EMD) is an algorithm for analyzing nonstationary data that provides a localized time-frequency representation by decomposing the data into adaptively defined modes.
Kaslovsky, Daniel N., Meyer, Francois G.
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Advanced Functional Materials, EarlyView.This study presents a dynamic interaction between liquid resins and photopolymerized structures enabled by an in situ light‐writing setup. By controlling a three‐phase interface through localized photopolymerization, which provides physical confinement for the remaining uncured resin regions, the approach establishes a programmable pathway that ...
Kibeom Kim +3 more
wiley +1 more source
Advanced Functional Materials, EarlyView.This review evaluates strategies for electrochemical CO2 reduction to ethylene, focusing on copper‐based catalyst design and microenvironment modulation to achieve industrial‐grade performance. By leveraging operando synchrotron‐based characterizations, we provide a multiscale understanding of dynamic structural transformations and key reaction ...
Meng Zhang, Zuolong Chen, Yimin A. Wu
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One or two Frequencies? The empirical Mode Decomposition Answers [PDF]
, 2006 19 pages, 7 figures. Submitted to IEEE Trans. on Signal Proc.This paper investigates how Empirical Mode Decomposition (EMD), a fully data-driven technique recently introduced for decomposing any oscillatory waveform into zero-mean components, behaves in ...
Flandrin, Patrick, Rilling, Gabriel
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From RNA to DNA: How Cargo Identity Reprograms Lipid Nanoparticle Architecture and Function
Advanced Healthcare Materials, EarlyView.The evolution of lipid nanoparticles (LNPs) spans from RNA‐LNPs, used in mRNA vaccines, to DNA‐LNPs, ideal for gene therapies. Emerging bionano architectures, decorated with DNA and plasma proteins, pave the way for advanced DNA‐based therapies that are more stable, targeted, and customizable.
Erica Quagliarini +2 more
wiley +1 more source
Fault Diagnosis of Rotating Machinery Based on an Adaptive Ensemble Empirical Mode Decomposition
Sensors, 2013 The vibration based signal processing technique is one of the principal tools for diagnosing faults of rotating machinery. Empirical mode decomposition (EMD), as a time-frequency analysis technique, has been widely used to process vibration signals of ...
Yaguo Lei +3 more
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Advanced Materials, EarlyView.AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll +19 more
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Algorithmic options for joint time-frequency analysis in structural dynamics applications [PDF]
, 2007 The purpose of this paper is to present recent research efforts by the authors supporting the superiority of joint time-frequency analysis over the traditional Fourier transform in the study of non-stationary signals commonly encountered in the fields of
Giaralis, A. +2 more
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Reduced Order Optimal Control of the Convective FitzHugh-Nagumo Equation
, 2019 In this paper, we compare three model order reduction methods: the proper orthogonal decomposition (POD), discrete empirical interpolation method (DEIM) and dynamic mode decomposition (DMD) for the optimal control of the convective FitzHugh-Nagumo (FHN ...
Karasözen, Bülent +2 more
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