Baseline wander removal of electrocardiogram signals using multivariate empirical mode decomposition. [PDF]
Healthc Technol Lett, 2015 A new method for removing the baseline wander (BW) noise based on multivariate empirical mode decomposition is presented. The proposed method is compared with recently introduced technique for BW removal using Hilbert vibration decomposition in terms of correlation coefficient criterion and signal‐to‐noise ratio.
Gupta P, Sharma KK, Joshi SD.
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Turning Tangent Empirical Mode Decomposition: A Framework for Mono- and Multivariate Signals [PDF]
IEEE Transactions on Signal Processing, 2011 A novel Empirical Mode Decomposition (EMD) algorithm, called 2T-EMD, for both mono- and multivariate signals is proposed in this paper. It differs from the other approaches by its computational lightness and its algorithmic simplicity. The method is essentially based on a redefinition of the signal mean envelope, computed thanks to new characteristic ...
Fleureau, Julien +4 more
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Multivariate Nonstationary Oscillation Simulation of Climate Indices With Empirical Mode Decomposition [PDF]
Water Resources Research, 2019 The objective of the current study is to build a stochastic model to simulate climate indices that are teleconnected with the hydrologic regimes of large‐scale water resources systems such as the Great Lakes system.
Taesam Lee, Taha B.M.J. Ouarda
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GPU-Accelerated Multivariate Empirical Mode Decomposition for Massive Neural Data Processing
IEEE Access, 2017 This paper presents an efficient implementation of multivariate empirical mode decomposition (MEMD) algorithm, a multivariate extension of EMD algorithm.
Taha Mujahid +2 more
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Weighted Window Sliding Multivariate Empirical Mode Decomposition for Online Multichannel Filtering
IEEE Access, 2018 Affected by nonlinear and non-stationary problems, classical linear analysis approaches may fail in analyzing real-world signals, such as the biomedical data.
Songbing Tao +3 more
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Analysis of EEG via Multivariate Empirical Mode Decomposition for Depth of Anesthesia Based on Sample Entropy [PDF]
Entropy, 2013 In monitoring the depth of anesthesia (DOA), the electroencephalography (EEG) signals of patients have been utilized during surgeries to diagnose their level of consciousness.
Jiann-Shing Shieh +6 more
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Multivariate empirical mode decomposition–based structural damage localization using limited sensors [PDF]
JVC/Journal of Vibration and Control, 2022 Sandeep Sony, AYAN Sadhu
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Multiband Prediction Model for Financial Time Series with Multivariate Empirical Mode Decomposition [PDF]
Discrete Dynamics in Nature and Society, 2012 This paper presents a subband approach to financial time series prediction. Multivariate empirical mode decomposition (MEMD) is employed here for multiband representation of multichannel financial time series together. Autoregressive moving average (ARMA)
Md. Rabiul Islam +3 more
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Aplikasi Filter Multivariate Empirical Mode Decomposition (MEMD) Untuk Mereduksi Noise Pada Data VLF-EM [PDF]
Jurnal Teknik ITS, 2017 Alat VLF-EM menangkap gelombang elektromagnetik dari medium-medium disekitarnya. Sehingga, alat VLF-EM ini sangat sensitif terhadap benda-benda yang memiliki komponen listrik dan magnet yang besar.
Muhammad Shafran Shofyan
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Trivariate Empirical Mode Decomposition via Convex Optimization for Rolling Bearing Condition Identification [PDF]
Sensors, 2018 As a multichannel signal processing method based on data-driven, multivariate empirical mode decomposition (MEMD) has attracted much attention due to its potential ability in self-adaption and multi-scale decomposition for multivariate data.
Yong Lv, Houzhuang Zhang, Cancan Yi
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