Results 71 to 80 of about 196,483 (296)
Empirical Mode Decomposition of the atmospheric wave field [PDF]
Annales Geophysicae, 2007 This study examines the utility of the Empirical Mode Decomposition (EMD) time-series analysis technique to separate the horizontal wind field observed by the Scott Base MF radar (78° S, 167° E) into its constituent parts made up of the mean ...
A. J. McDonald +4 more
doaj +1 more source
Carbon Price Analysis Using Empirical Mode Decomposition [PDF]
Computational Economics, 2013 Mastering the underlying characteristics of carbon price changes can help governments formulate correct policies to keep efficient operation of carbon markets, and investors take effective measures to evade their investment risks. Empirical mode decomposition (EMD), a self-adaption data analysis approach for nonlinear and non-stationary time series ...
Bangzhu Zhu +3 more
openaire +2 more sources
Unveiling Multidimensional Physicochemical Design Principles for Tissue Processing Hydrogels
Advanced Functional Materials, EarlyView.This study establishes a materials‐based design framework for polymer hydrogels in tissue clearing, linking physicochemical properties to performance in tissue processing, labeling, and imaging. By analyzing rheology, swelling, porosity, antibody diffusion, mechanical performance, and thermochemical stability across platforms, this work provides a ...
Sangjae Kim +8 more
wiley +1 more source
A novel method to identify the flow pattern of oil–water two-phase flow
Journal of Petroleum Exploration and Production Technology, 2020 This paper presents a novel method combining extreme learning machine (ELM) and multiple empirical mode decomposition (MEMD) to identify flow patterns of oil–water two-phase flow. The proposed method can recognize accurately five typical flow patterns of
Zhong-Cheng Li, Chun-Ling Fan
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A low-order decomposition of turbulent channel flow via resolvent analysis and convex optimization [PDF]
, 2014 We combine resolvent-mode decomposition with techniques from convex optimization to optimally approximate velocity spectra in a turbulent channel. The velocity is expressed as a weighted sum of resolvent modes that are dynamically significant, non ...
Jovanovic, M. R. +4 more
core +2 more sources
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
A single antenna ambient noise cancellation method for in-situ radiated EMI measurements in the time-domain [PDF]
, 2016 This paper presents a single antenna ambient noise cancellation method for in-situ radiated emissions measurements performed using an entirely time-domain approach and the sliding window Empirical Mode Decomposition.
Azpúrua Auyanet, Marco Aurelio +2 more
core +1 more source
Empirical Mode Decomposition as a Filter Bank [PDF]
IEEE Signal Processing Letters, 2004 Empirical mode decomposition (EMD) has recently been pioneered by Huang et al. for adaptively representing nonstationary signals as sums of zero-mean amplitude modulation frequency modulation components. In order to better understand the way EMD behaves in stochastic situations involving broadband noise, we report here on numerical experiments based on
Flandrin, Patrick +2 more
openaire +2 more sources
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
wiley +1 more source
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.
core +1 more source