Results 1 to 10 of about 2,665,090 (225)
On the Memory Cost of EMD Algorithm
IEEE Access, 2022 Empirical mode decomposition (EMD) and its variants are adaptive algorithms that decompose a time series into a few oscillation components called intrinsic mode functions (IMFs).
Hsu-Wen Vincent Young +2 more
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Adaptive Signal Processing Algorithms Based on EMD and ITD [PDF]
IEEE Access, 2019 In the last two decades, both Empirical Mode Decomposition (EMD) and Intrinsic Time-Scale Decomposition (ITD) algorithms deserved a variety of applications in various fields of science and engineering due to their obvious advantages compared to conventional (e.g.
Alexander Voznesensky, Dmitry Kaplun
exaly +3 more sources
EMD: an ensemble algorithm for discovering regulatory motifs in DNA sequences [PDF]
BMC Bioinformatics, 2006 Background Understanding gene regulatory networks has become one of the central research problems in bioinformatics. More than thirty algorithms have been proposed to identify DNA regulatory sites during the past thirty years.
Kihara Daisuke +2 more
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An LBL positioning algorithm based on an EMD–ML hybrid method
EURASIP Journal on Advances in Signal Processing, 2022 Autonomous underwater vehicles (AUVs) are essential assets for ocean exploration requiring reliable underwater positioning technology. Aiming to improve the latter technology in a low SNR and reverberation environment, the Chan–Taylor hybrid positioning ...
Huibao Yang +4 more
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Robust Registration of Medical Images in the Presence of Spatially-Varying Noise
Algorithms, 2022 Spatially-varying intensity noise is a common source of distortion in medical images and is often associated with reduced accuracy in medical image registration.
Reza Abbasi-Asl +2 more
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Damage identification of bridge structure model based on empirical mode decomposition algorithm and Autoregressive Integrated Moving Average procedure [PDF]
Archives of Civil Engineering, 2022 Time series models have been used to extract damage features in the measured structural response. In order to better extract the sensitive features in the signal and detect structural damage, this paper proposes a damage identification method that ...
Weijia Lu +4 more
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New streaming algorithms for high dimensional EMD and MST
Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of Computing, 2022 We study streaming algorithms for two fundamental geometric problems: computing the cost of a Minimum Spanning Tree (MST) of an $n$-point set $X \subset \{1,2,\dots,Δ\}^d$, and computing the Earth Mover Distance (EMD) between two multi-sets $A,B \subset \{1,2,\dots,Δ\}^d$ of size $n$.
Xi Chen 0001 +3 more
openaire +2 more sources
Micromachines, 2023 In order to remove noise generated during the accelerometer calibration process, an accelerometer denoising method based on empirical mode decomposition (EMD) and time-frequency peak filtering (TFPF) is proposed in this paper.
Chenguang Wang +4 more
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Online Monitoring Technology of Power Transformer based on Vibration Analysis
Journal of Intelligent Systems, 2021 This paper presents a method for the study of the influence of stability of a power transformer on the power system based on the vibration principle. Traditionally, the EMD and EEMD algorithms are employed to test the box vibration signal data of the ...
Meng Junhong +5 more
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A New Approach to Empirical Mode Decomposition Based on Akima Spline Interpolation Technique
IEEE Access, 2023 The objective of this research work is to extend the scope of the empirical mode decomposition (EMD) algorithm, as an efficient tool to decompose the nonlinear and non-stationary time series.
Muhammad Ali +3 more
doaj +1 more source