Results 21 to 30 of about 197,948 (294)
A comparative study of single-channel signal processing methods in fetal phonocardiography.
PLoS ONE, 2022 Fetal phonocardiography is a non-invasive, completely passive and low-cost method based on sensing acoustic signals from the maternal abdomen. However, different types of interference are sensed along with the desired fetal phonocardiography.
Katerina Barnova +4 more
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Empirical mode decomposition-based facial pose estimation inside video sequences [PDF]
, 2010 We describe a new pose-estimation algorithm via integration of the strength in both empirical mode decomposition (EMD) and mutual information. While mutual information is exploited to measure the similarity between facial images to estimate poses, EMD is
Jiang, Jianmin +2 more
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Hybrid methods based on empirical mode decomposition for non-invasive fetal heart rate monitoring [PDF]
, 2020 This study focuses on fetal electrocardiogram (fECG) processing using hybrid methods that combine two or more individual methods. Combinations of independent component analysis (ICA), wavelet transform (WT), recursive least squares (RLS), and empirical ...
Barnová, Kateřina +3 more
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Codage des signaux par EMD [PDF]
, 2012 In this letter a new signals coding framework based on the Empirical Mode Decomposition (EMD) is introduced. The EMD breaks down any signal into a reduced number of oscillating components called Intrinsic Modes Decomposition (IMFs).
BOUDRAA, Abdel-Ouahab, KHALDI, Kais
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Weak Signal Enhance Based on the Neural Network Assisted Empirical Mode Decomposition
Sensors, 2020 In order to enhance weak signals in strong noise background, a weak signal enhancement method based on EMDNN (neural network-assisted empirical mode decomposition) is proposed.
Kai Chen +3 more
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Journal of Low Frequency Noise, Vibration and Active Control, 2021 In order to identify the nonlinear nonstationary pitting-wear fault signal of gears in gearbox, a new method of composite fault diagnosis for gearbox is proposed, which combines empirical mode decomposition with improved variational mode decomposition ...
Jingyue Wang +3 more
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International Journal of Distributed Sensor Networks, 2018 The bidimensional empirical mode decomposition algorithm is more suitable to handle image fusion than the traditional multi-scale decomposition methods in the image fusion area.
Pei Wang, Hui Fu, Ke Zhang
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Research of partial discharge detection for XLPE cable
Gong-kuang zidonghua, 2014 In order to extract characteristics of partial discharge signals, the paper proposed an adaptive threshold algorithm for processing partial discharge data by using ensemble empirical mode decomposition method for analysis of XLPE cable partial discharge ...
TANG Zhongyu +3 more
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Variational Mode Decomposition for Raman Spectral Denoising
Molecules, 2023 As a fast and non-destructive spectroscopic analysis technique, Raman spectroscopy has been widely applied in chemistry. However, noise is usually unavoidable in Raman spectra. Hence, denoising is an important step before Raman spectral analysis. A novel
Xihui Bian +4 more
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A Comparative Study of Empirical and Variational Mode Decomposition on High Voltage Discharges
Electrica, 2018 Signal quality is the keyissue for maintaining effective power transmission in electrical networks. Inmost cases, a high voltage (HV) is transmitted in power systems to decreasepower loss.
Cengiz Polat Uzunoğlu
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