Results 21 to 30 of about 5,122,568 (192)
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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, 2013 In this paper a new adaptive audio watermarking algorithm based on Empirical Mode Decomposition (EMD) is introduced. The audio signal is divided into frames and each one is decomposed adaptively, by EMD, into intrinsic oscillatory components called ...
KHALDI, Kais, BOUDRAA, Abdel-Ouahab
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Empirical Mode Decomposition Aided by Adaptive Low Pass Filtering [PDF]
, 2012 Empirical Mode Decomposition (EMD) is an adaptive signal analysis technique which derives its basis functions from the signal itself. EMD is realized through successive iterations of a sifting process requiring local mean computation.
Arıkan, Orhan +6 more
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Empirical mode decomposition on surfaces
Graphical Models, 2012 Empirical Mode Decomposition (EMD) is a powerful tool for analysing non-linear and non-stationary signals, and has drawn a great deal of attentions in various areas. In this paper, we generalize the classical EMD from Euclidean space to the setting of surfaces represented as triangular meshes.
Hui Wang 0018 +4 more
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on the Influence of Sampling on the Empirical Mode Decomposition [PDF]
2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings, 2006 The rationale underlying the nonlinear Empirical Mode Decomposition method is intrinsically a continuous-time approach. The method can however only be applied in practice to discrete-time signals. EMD is obtained through iterating a basic nonlinear operator for which we derive an upper bound for the effects of sampling.
Gabriel Rilling, Patrick Flandrin
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Enhancing Performance of Single-Channel SSVEP-Based Visual Acuity Assessment via Mode Decomposition
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023 This study aimed to improve the performance of single-channel steady-state visual evoked potential (SSVEP)-based visual acuity assessment by mode decomposition methods.
Xiaowei Zheng +3 more
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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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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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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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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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